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Data Science vs Machine Learning – An overview

Key takeaways:

  • Starting with statistics, data science has expanded to incorporate ideas and methods from the Internet of Things, machine learning, artificial intelligence, and many other fields.
  • Data science employs machine learning, artificial intelligence, and data mining methods.
  • Machine learning is a type of AI that employs algorithms to extract data and forecast future trends.
  • Both data science and machine learning have grown to become the top career choices across the globe.

Data science and machine learning are two ideas in the technology field that help us create and invent new goods, services, infrastructure systems, and other things by using data. Both represent highly sought-after and lucrative career opportunities. The two are related in the same manner: squares are rectangles, but rectangles are not squares. Data science is the all-encompassing rectangle. However, machine learning is a distinct square. 

Data Science vs Machine Learning – An overview

Data Science venn diagram

The significant difference between machine learning and data science is that, on the one hand, data science focuses on improving data visualisation and presentation, whereas machine learning focuses on learning algorithms and learning from real-time data and experience. Let us take a closer look at some other differences between the two with the help of the following table –

Parameters Data Science Machine Learning 
DefinitionData science is an intriguing area in which unstructured data is cleaned, filtered, and analysed, with the end result being business breakthroughs.Machine Learning is a branch of data science in which tools and techniques are utilised to construct algorithms that allow machines to learn from data through experience.
ToolsSAS, Apache Spark,BigML, D3  MATLAB, Excel, ggplot2, TableauTensorFlow, PyTorch, PyTorch Lightning, Scikit-learn, Catalyst, XGBoost, LightGBM, CatBoost
            ApplicationHealthcare , Video games, Recognition of images, Suggestions Systems, Logistics, Fraud detectionImage recognition, Speech Recognition, Traffic prediction, Self-driving cars, Email Spam and Malware Filtering, Virtual Personal Assistant
Job rolesData Scientist, Director of Data Science, Data analyst, Data engineer, Data architectMachine learning engineer, AI engineer, Cloud Engineer, Designer of human-centred AI systems, Senior Software Engineer
SkillsUnderstanding of probability, statistics, and mathematics, skills in data visualisation and data manipulation, excellent interpersonal and cooperative skillsComputer science knowledge, such as data structures, algorithms, and architecture, excellent knowledge of statistics and probability, Programming skills, including Python, R, and others
PayscaleINR 4.5 Lakhs to INR 25.0 Lakhs*INR 3.5 Lakhs to INR 21.0 Lakhs*
Top employersIBM, Wipro, Cloudera, Splunk. Amazon Web Services, Databricks, Dataiku, Veritone
*Source: Glassdoor

What is data science?

Data science is the study of data and how to derive insights from structured and unstructured data using various approaches, algorithms, systems, and tools. This expertise can be used in enterprises, government agencies, and other organisations to boost profits, develop new goods and services, enhance public systems and infrastructure, and more.

Data science processes

The systematic approach to solving a data problem is known as the data science process. It offers a methodical framework for formulating your issue as a question, choosing a course of action, and subsequently outlining the proposed action to stakeholders.

  • Discovery

Acquisition of data from all designated internal and external sources is part of the discovery stage, which aids in responding to the business issue.

  • Preparation

Data must be cleaned of irregularities, such as missing numbers, blank columns, or erroneous data formats. Before modelling, data needs to be processed, explored, and conditioned. 

  • Model planning

You must choose the approach and strategy to illustrate the relationship between the input variables at this stage. Among these programmes are SAS/access, R, and SQL Analysis Services.

  • Model Construction

In this stage, the real model construction process begins. Here, a data scientist distributes training and test datasets. The training data set uses methods including association, classification, and clustering. 

  • Put into practice

In this stage, you submit the baselined model in its final form along with reports, code, and technical documents. After extensive testing, the model is introduced into a live production setting.

READ MORE: The data science roadmap explained

Application of data science

There are many fantastic applications in the field of data science as stated below. Data science plays a significant role in the development of organisations in the current era of digitisation and not just in businesses.

  • Healthcare 
  • Video games
  • Recognition of images
  • Suggestions Systems
  • Logistics
  • Fraud detection

Data Science skills

To advance your career path in data science, you will need to learn programming and data analytics. Here are some of the skills that you must have in order to become a successful data scientist –

  • Proficiency in Python, R, SAS, and other programming languages
  • Working experience with vast volumes of organised and unstructured data
  • Capable of collecting and analysing data for business purposes
  • Knowledge of arithmetic, statistics, and probability
  • Data visualisation and data manipulation abilities
  • Familiarity with machine learning algorithms and models
  • Excellent communication and teamwork abilities

Data science career

According to the data science career roadmap, there are many data science jobs available:

Job rolesSalary
Data ScientistINR 10,00,000
Director of Data ScienceINR 59,76,044 
Data analystINR 6,98,413
Data engineerINR 8,83,000
Data architectINR 13,50,000
Source: Glassdoor

What is machine learning?

Machine learning is a kind of artificial intelligence that uses algorithms to extract data and forecast future trends. There are several types of machine learning which are used and implemented accordingly. Models are coded into software, enabling engineers to undertake statistical analysis to understand significant  trends in data.

The machine learning algorithm is a set of techniques and concepts used in data science but also emerges in domains outside of data science. Machine learning is frequently used by data scientists in their work to help acquire more information faster or to assist with trend analysis.

Machine learning processes

The process of creating systems that learn and develop on their own through carefully designed programming is known as machine learning. Designing algorithms that automatically assist a system in gathering data and using that data to learn more is the ultimate goal of computer vision.

  • Data collection

As you know, machines initially pick up knowledge from the data you provide them. It is crucial to gather trustworthy data so your machine learning model can identify the proper patterns. 

  • Preparing the data

You must prepare your data after you receive it. This is possible by –

  • Combining and randomising all of the data you have. This ensures that the distribution of the data is balanced and that the learning process is unaffected by the ordering.
  • Cleaning the data removes unnecessary information, missing values, duplicate values, rows, and columns, data type conversion, etc.
  • Choosing a model

After applying a machine learning algorithm to the data you’ve gathered, a model you choose for machine learning will determine the results. Selecting a model that applies to the current task is crucial. 

  • Training the Model

In machine learning, training is the most crucial stage. You feed your machine learning model the prepared data during training to detect patterns and generate predictions. As a result, the model acquires knowledge from the data to complete the given task. 

  • Evaluation of the model

After training your model, you must assess its effectiveness. To do this, the model’s performance is analysed with the help of data that has never been seen before. 

Applications of machine learning

Many sectors can benefit from deploying and enhancing machine learning (ML) procedures. ML is currently used without restrictions in many different disciplines and companies.

  • Image recognition
  • Speech Recognition
  • Traffic prediction
  • Self-driving cars
  • Email Spam and Malware Filtering
  • Virtual Personal Assistant

Machine learning skills

To be a competent machine learning engineer, you should be knowledgeable in the following areas –

  • Computer science knowledge, such as data structures, algorithms, and architecture
  • Excellent knowledge of statistics and probability
  • Software engineering and system design knowledge
  • Programming skills, including Python, R, and others
  • Data modelling and analysis abilities

Machine learning careers

There are various alternatives available to you if you pursue a machine learning career path and artificial intelligence.

Job rolesSalary
Machine learning engineerINR 7,20,701
AI engineerINR 8,00,000 
Cloud EngineerINR 12,80,000
Designer of human-centred AI systemsINR 16,00,000
Senior Software EngineerINR 11,03,638
Source: Glassdoor

Boost your careers with an M.Sc. in Data Science from Online Manipal

With the Master of Science in Data Science programme offered by the Manipal Academy of Higher Education (MAHE) through Online Manipal, you can develop a standout career in analytical and leadership roles across various industries. The curriculum gives you experience using real-world data to solve problems by combining machine learning, big data analytics, and statistics.

Course durationFee structure
24 months15-20 hours/weekINR 2,60,000INR 65,000 each semester

Eligibility criteria

The eligibility criteria for the MSc Data Science course are as follows – 

Indian students
  • Graduates in computer science, mathematics, or statistics with a B.Sc., BE, B.Tech, or BCA degree, or a degree comparable, and at least two years of study in the discipline at an Association of Indian Universities (AIU)-recognised institution, and with a minimum of 50% of the grade or equivalent.
  • It’s ideal to have work experience.

International students

  • Graduates in computer science, mathematics, or statistics with a BSc, BE, BTech, or BCA degree, or an equivalent degree, and a minimum of 50% overall or an equivalent grade from colleges or universities recognised by the Association of Indian Universities (AIU).
  • To apply to any Indian university, candidates must have received their graduation degree and the certificate of equivalency from the Association of Indian Universities.
  • These individuals are qualified to enrol in MAHE’s online degree programmes. All such students and professionals will be charged an international price for their respective degrees and may be required to present documentation during the application process, including but not confined to a CV, address verification, valid visa, PR card, and a copy of their passport.

Placement assistance

The placement cell strives to improve students’ employability levels who are interested in pursuing careers after completing their programmes. Online Manipal provides sessions on skill development, resume building, and industry connect to help students improve their career prospects.

Wrapping up 

As can be seen, both data science and machine learning are excellent career possibilities with numerous chances. So, instead of knowing the difference between data science and machine learning and debating which is better, it is preferable to know and learn data science because if you learn data science, you can master both and have a career as either a data scientist or a machine learning engineer.
You’ll require programming and statistical expertise to get a job in data science or machine learning. The MAHE’s master’s in data science programme offered at Online Manipal is intended to help you find work as a data scientist or in a related field. You’ll study Python and SQL, as well as data analysis and visualisation, as well as how to create machine learning models.

How to get into the business analytics industry?

Key takeaways:

  • To get into the in-demand business analytics industry, you must understand data science and statistics.
  • Learn how to use Excel to its full potential, as it is one of the most commonly used tools in business analytics.
  • Become familiar with SQL (Structured Query Language), which is used for querying and managing data stored in relational databases.
  • Get familiar with Python, a widely-used programming language for scientific computing, data analysis, and visualisation.

The business analytics industry is a large and growing field, so many different types of companies use these methods for data driven decision making. You can start by getting into one such company, like an accounting or financial firm, and learning about its approach to the work you want. You can also create your startup and use the business analyst skills required to generate revenue.

If you are interested in working in the evolving business analytics industry but don’t have much experience, there are several ways to get started. 

One option is to get an entry-level job at an established company that uses business analytics, like a management consulting firm or a financial services company. This will allow you to learn from others already working in this field while gaining the valuable business analyst skills required. 

Another option is to start a company using what you have learned during school and on the job. This may not be easy, but it is possible if you have enough determination and patience—and if there’s enough demand for what you are offering!

What is business analytics?

Business analytics is a process that uses data to answer questions and make decisions. It is a way of interpreting the past, present, and future to reach your goals.

Business analytics can be used to improve every aspect of your business, from customer service to product development. Simply put, it is about making better decisions based on the available information.

READ MORE: What is Business Analytics: An overview

How does business analytics work?

Business analytics is a data-driven approach to decision-making. It can be applied to various business problems, including sales and marketing, supply chain management, operations management, and customer service.

Start by searching for ways that could increase your sales. You can do it by collecting data on your current sales performance to identify trends or patterns. For example, how often people buy shoes on sale days, the average price of shoes sold during those days, and what other products customers tend to purchase with shoes. 

Once you have made these observations about your customer’s behaviour, you can decide whether or not it makes sense for your company’s business model. If it has enough profit potential for your company, you may start offering discounts for both items together rather than just one.

Significance of business analytics

Businesses are continuously evaluating their performance and using data for the same. Here’s how business analytics helps various industries – 

  • Better decision-making

You can identify trends in your customer base, find out where your revenue is coming from, and learn more about what makes your customers tick. These insights will help you make better decisions, from staffing to product development.

  • Lower risk

Business analytics can help lower risk in your business by allowing you to predict future outcomes based on past data. If you have a predictive model for customer behaviour, you can use it to predict what customers will do when interacting with your product or service and plan accordingly. This can help you avoid situations where the cost of failure is high.

  • Improved efficiency

Business analytics helps you understand how certain processes work and why they are important for your business’s success. This knowledge allows you to streamline those processes to run more efficiently and save money by reducing associated costs.

Required business analytics skills

The key business analyst skills required to succeed are as follows –

  • Business acumen

Business acumen understands business goals, processes, and activities. It involves both logical and creative thinking and the ability to identify opportunities and problems in the business environment.

  • Communication skills

This involves communicating with people at all levels of an organisation, including senior leadership. 

  • Problem-solving skills 

This refers to an individual’s ability to find solutions for problems that arise during a project. It is also important for teams to have good problem-solving skills so they can work together effectively and efficiently. 

  • Data analysis skills 

This refers to an individual’s ability to collect data from various sources (such as customer surveys) and analyse it using statistical methods such as regression or predictive modelling. This step usually aims to generate insights about your customers or company’s operations (such as how customers behave).

  • Business analyst salary & job roles

The world of business analytics is a vast and expansive one. That’s why it can be difficult to know where to start when you are looking for a business analytics job role.

The good news is that there are a number of options available to you. Whether you are looking for a career change or just want to try something new, here are some of the most common roles in the field:

Job roleSalary
Data ScientistINR 10,00,000
StatisticianINR. 20,80,346
Business Intelligence AnalystINR 3.5 Lakhs to INR 16 lakhs
Data EngineerINR 8,67,354
Data AnalystINR 4.3 Lakhs
Predictive Analytics SpecialistsINR 13,75,870

Career progression in business analytics

As the economy changes, so too do the job market and career prospects. In today’s world, data analytics is one of the most important business analyst skills required because it is a skill that can be used in almost any industry. Business analytics involves collecting, analysing, and interpreting data to make better decisions for businesses and organisations.

You can take many different paths with your career in business analytics. Some people start as analysts or interns who work closely with data scientists on projects related to their companies’ goals. In contrast, others advance into managerial positions where they oversee entire departments or teams of analysts. Some people choose instead to pursue higher education by getting master’s degrees or Ph.Ds in business administration, economics, or other related fields.

How to get into the business analytics industry?

Getting into the business analytics industry can be a challenging task. You will need a clear idea of what you want to do and how to get an analytics job

Here are some steps you can take to get started –

  1. Earn an undergraduate degree

While there is a lot of debate about whether or not you should pursue an undergraduate degree in business analytics before pursuing a master’s degree, most employers indeed prefer to see some previous experience in the field. In addition, pursuing your master’s degree in business analytics helps to have some exposure to the material before taking on a graduate program.

  1. Do a specialised master’s degree in business analytics

If you want to enter the industry, earning a master’s degree in business analytics is the best way. You will learn how to apply data science techniques and statistics to real-world problems, which will help you make valuable contributions at work.

  1. Get the hang of visualisation tools and practice presentation

The key skill set for success in business analytics is communicating effectively with data, whether presenting information visually or communicating it verbally.

  1. Work on hands-on projects

To start your career with the executive programme in the business analytics industry, you will need to ensure that you have experience working on projects. This can be anything from creating a simple report for your organisation to developing an algorithm that will help improve efficiency.

  1. Showcase your work in your portfolio

To get hired as a business analyst, employers will want to see what kind of work you have done in the past. They will want to see reports, dashboards, models, algorithms, and other things that show off the required business analyst skills.

  1. Do an internship or two

Internships are great because they allow you to gain real-world experience while still being able to focus on school. If possible, try an internship or two before graduating college to be better prepared for interviews.

  1. Try to upskill with the latest versions of software or programming languages

Upskill with the latest versions of software or programming languages. To work in analytics, it is important to be familiar with the most up-to-date tools and techniques. Many companies will offer training programs for employees. Still, if you are starting, taking some of these business analyst courses on your own time can be helpful.

  1. Build a robust professional network

Build a robust professional network. Networking is critical in any industry, but especially so in business analytics. You must connect with people who can help you get your foot in the door at companies where you might eventually want to work. The best way to do this is through social media—especially LinkedIn—but also attend conferences and meetups where professionals from different companies gather to discuss current trends in business analytics.

  1. Find an entry-level job

The best way to learn about how things work in a particular company is by working there. Also, often these entry-level jobs don’t require formal education or training. Just make sure that whatever company you choose has good reviews online and makes it easy for employees who want to enter the workforce in the organisation.

Online Manipal helps you become an in-demand Business Analyst

If you are looking to become an in-demand Business Analyst, the exclusively designed courses by the Manipal Academy of Higher Education (MAHE) with Online Manipal can help. MAHE’s MSc in Business Analytics programme is designed to equip you with the business analyst skills and expertise needed to succeed in the industry.  You will learn how to apply analytics techniques and tools to real-world problems, giving you a competitive edge over other professionals who lack the business analyst skills required.

Besides, you will be taught by experienced faculty members who are dedicated to your success so that you can confidently tackle any challenge that comes your way.

The curriculum covers data mining, machine learning, and natural language processing. It also includes practical projects that will allow you to apply what you have learned in a real-world setting.

The online learning platform allows flexible scheduling to balance your studies with work or other obligations. It is accessible through any device with an internet connection (PC/laptop). This means that you can study anytime, anywhere!

Summing it up

If you are looking to enter the business analytics industry, Online Manipal is the launchpad. You will learn from mentors who are experts in their fields and have years of experience working with big data in practical applications. The programme is designed to provide a comprehensive education that will give you the skills you need to succeed in the field.

Difference between a data scientist and a data engineer

Key takeaways:

  • Data Scientist and Data Engineer are two distinct designations. A data engineer lays the foundation for the data, and a Data scientist develops machine learning and statistical models.
  • Data Science is the process that involves the extraction of useful business insights, while Data Engineering is about building the workflow or pipeline to facilitate the seamless movement of data from one instance to the other.
  • Both Data Scientists and Data Engineers require specialised skill sets and follow unique approaches to address the distinct problem areas with day-to-day challenges.
  • With plenty of opportunities and impeccable scope of work, both fields have been popular career options for individuals in every IT-based organisation.

Thanks to the growth of digital and cloud-based technologies, we are in an era that is driven by data. Due to this, when you make a quick search on any job portal, you will realise that data scientists and data engineers are some of the in-demand career opportunities across the world. According to the Bureau of Labour Statistics report, the positions for data scientists will increase by 16% between the years 2018 and 2028. Further, Glassdoor’s survey ranked the data positions, including data scientist and data engineer, in the list of top 50 best jobs.

However, there is a common misconception among people that both data engineer and data scientist roles are similar, which is not true at all. If you are confused about what to choose between the two, understanding the difference between data engineer and data scientist will help you make an informed decision about your career. Being one of the most ambiguous fields in the tech world, the positions, roles, and responsibilities for both designations are still maturing. 

Here we will share in-depth insights, including skill sets, career opportunities, roles, salary, and outcomes, helping you to gain a clear view and draw a line between these two tangible roles.

What is Data Science?

Data Science is an interdisciplinary subject involving the methods and tools from the statistical, application domain, and computer science to process structured and unstructured data to gain meaningful insights and knowledge.

A data scientist dives into the data and works on building and executing AI-based algorithms in various business verticals to solve complex issues. Furthermore, they also perform data visualisation and dashboarding mechanisms to identify trends and patterns in the industry.

READ MORE: What is Data Science?

What is data engineering?

Data Engineering is the process of designing and building a process stack for collecting, storing, enriching, and processing data with real-time authentication. The discipline usually employs tools and programming languages to build API for large-scale processing data and query optimisation.

Data Engineers are involved in taking care of hardware and software requirements of the organisation while also focusing on IT and Data protection and compliance with the security policies. They are also responsible for ensuring the continuous follow of data from the servest o the applications.

Data scientist vs data engineer – An overview

According to a recent LinkedIn report, data science and data engineering are listed among the top 15 in-demand jobs, and their statistics speak for the demand and growth of these roles. Let us take a look at an overview of these vocations.

ParameterData ScientistData Engineer
Roles and responsibilities Create models to help business gain better insights and make meaningful predictions from dataBuild, test and maintain data pipelines and provide machine learning models with quality data sources.
SkillsKnowledge of Maths and StatisticsProficiency in SQL and Scripting skillsDecision making and data optimisation skillsKnowledge of databases and cloud technologiesData Modelling and ELT development skillsProgramming, Data warehousing and APIs
ToolsPython, Pandas, Jupyter Notebooks, SQLSQL, Oracle, Hadoop, Python, Linux
Top employersAmazon, Google, Quora, Microsoft, Tesco, WalmartLabsAirbnb, Lyft, Spotify, Slack, Criteo, Coinbase, WalmartLabs
Avg. salaryINR 10,00,000 PA*INR 8,00,000 PA*
Source: Glassdoor

Data scientist vs data engineer – Roles & responsibilities

The paradigm of data scientist and data engineer roadmap takes place at the same point. However, since big data continues to grow and evolve, it will raise new functional and specialisation. Even though both roles pursue insights through accurate data analysis, they get separated in their roles and responsibilities in achieving the desired results. 

Role of a Data Scientist

Data scientists primarily work with a huge amount of data in analysing, processing, and modelling it to produce meaningful information. It will help solve problems or aid in the decision-making process within business or project needs.

The responsibilities of data scientists include –

  • Gather, collect or extract data through an efficient process
  • Clean, process, and validate data
  • Analyse data using machine learning, artificial intelligence, statistical data modelling, and predictive analysis
  • Build data models and algorithms
  • Refine and interpret the results of the studies
  • Draft actionable and useful insights based on the collected data
  • Present the finding through data visualisation tools, including slide decks, dashboards
  • Automate routine processes and develop predictive models and machine learning algorithms
  • Find problems or opportunities, and identify trends or patterns from a large amount of messy data
  • Solve complex business problems by creating data-oriented solutions

ALSO READ: Why you should become a data scientist

Role of a Data Engineer

Data engineers are responsible for setting the table for data science. They have to lay the solid groundwork so the data scientist can work on their craft, fulfilling the organisation’s requirements. They create the systems, infrastructure, and architecture required to obtain, store, produce and prepare raw data to be utilised by data scientists to carry out their tasks.

Data Engineer’s roles and responsibilities are listed out below –

  • Enabling collaboration with management and stakeholder to find the requirements of the project or business
  • Build data infrastructure to store and manage data and design and develop databases, analytic infrastructure, and servers
  • Identify relevant data sets and sources as per the requirements
  • Deploy ETL processes,
    • Extract substantial data from different sources and systems, storing it in data warehouses and creating and curating data.
    • Transform data after the conversion of source format to single and viable structure formations.
    • Loading and logging data into destined files.
  • Pre-analyse, clean, and prepare raw, disconnected data for data scientists
  • Optimise and maintain all data processes created for efficiency and scalability
  • Create and deploy ML algorithm
  • Assist and resolve technical issues related to data and its infrastructure
  • Enhance data quality, reliability, and security, regulated with compliance policies
  • Re-design data architecture whenever there is a need to meet new business requirements

Skills and tools: Data scientist vs data engineer 

Big data skills are critical to landing a job in data engineering and data science. From designing and maintaining data to learning about big data frameworks, one needs to acquire important skills to build a successful career in the field. 

Skills and tools required for a data scientist 

There are several specialised tools and skills required for data scientists to enable them to spot trends and make better-informed predictions. Some of them are –

  • Programming languages

R and Python are the most popular data science programming languages, well-suited for data analysis operations.

  • Machine learning tools

Machine learning tools such as TensorFlow, Apache Mahout, and Accord.Net will help you to apply artificial intelligence to be more accurate in analytical models.

  • Data visualisation 

Visualisation tools such as SQL and using programs like Bokeh, Plotly, and Tableau will help you to present complex data in a wide array of charts and graphs.

  • Statistics

Data scientists should be proficient in applying statistical concepts and techniques that will help them to analyse and work with the data to achieve better results.

Skills and tools required for a data engineer

Below are some of the essential data engineer skills and tools that will help you to tackle the challenges in the ever-growing pile of big data that every business verticals face today.

  • Database knowledge

Having in-depth knowledge of SQL and NoSQL will help one to collect, store, and query information from databases in real-time.

  • Data transformation tools

Data transformation can be either simple or complex, depending on the data sources, formats and desired output. Some of the relevant tools are Hevo Data, Matillion, Talend, Pentaho Data Integration, InfoSphere DataStage and more.

  • Data warehousing 

Data warehouse along with ETL aids you to leverage big data in a meaningful way. Some of the popular tools like AWS Glue, Stitch, and Informatica PowerCenter will streamline data that comes from heterogeneous sources

  • Cloud computing tools

Setting up the cloud to store and assure the high availability is one of the primary tasks of data engineers. Therefore, acquiring knowledge on the cloud platforms like Azure, ACP, OpenStack, and OpenShift is important.

Career opportunities: Data Scientist vs Data Engineer 

A recent poll has revealed that there is a need for 2,00,000 Data Engineers and Data Scientists in the next five years. Read to learn more about the career pathways and how to build a bright future in data science and data engineering. 

Career opportunities for a data scientist 

A successful data scientist must have a perfect combination of all aspects, from being a programmer to a mathematician. In addition, the field is constantly evolving to give more than one type of job role and title. Here are some different jobs under the data science umbrella,

  • Data scientist

The individual has to offer the best solution to challenges using data analysis and processing and help make a better decision.

  • Data analyst

The data analyst performs various tasks, including visualisation, munging, and processing massive amounts of data. They also have to create and modify algorithms to cull information from the biggest databases without corrupting the source.

  • Database administrator

The job description of a database administrator is to ensure the proper functioning of all databases of the organisation and revoke the services depending on the needs. Moreover, they are also responsible for backups and recoveries of databases.

  • Machine learning engineer 

A blend of software engineering and data science, the professional has to deal with big data. They need to perform A/B testing, build data pipelines and implement common ML algorithms such as classification. 

Career opportunities for a Data Engineer 

There are numerous aspects of careers in data engineering. From coding the algorithms to the developing side of things, they take on various job roles, including –

  • Data engineers

Data Engineers have to build and test scalable Big Data ecosystems. They also have to update the existing system with an upgraded version to enhance the efficiency of the databases.

  • Data architect or builder

They are responsible for developing data pipeline infrastructure. They also save data from various sources, such as steaming or social media sources to create collection processes, gathering the data.

  • Database administrator

Administrators are responsible for testing, designing, and maintaining database systems used to store collected data. They have to optimise them for more secure and efficient operations, ensuring a smooth collection and storage process.

  • Analytical engineer 

They implement programming languages such as Python and databases like SQL and NoSQL to have better control over the processing systems. They ensure to run the database smoothly, searching for various ways to optimise the process. 

Salary comparison: Data Scientist vs Data Engineer 

Data scientist and Data Engineer are both lucrative jobs with certain similar skills and experience related to one another. However, due to some differences, including the roles and responsibilities, there will be significant differences in salary. Given that, let us compare the salary for these from the real data derived from Glassdoor. 

Salary of a data scientist 

The average data scientist’s salary in India is approximately INR 11,00,000 per annum. In addition to the given remuneration, the number can vary depending on the title, such as Entry level Data Scientist, Data Scientist, Senior Data Scientist, Lead Data Scientist, Data Science Manager, and Data Science Director.

Salary of a data engineer 

The average salary for a Data Engineer is around INR 8,00,000 per annum in India, which might vary depending on various factors, including job location, skills, and experience. In addition, the title will also make some significant salary changes as Data Engineer, Senior Data Engineer, Data Engineering Manager, Lead Software Engineer, and Data Scientist.

The difference in the salary is because the data engineers are less popular cousins of data scientists but no less important than the latter. In a nutshell, a career in either data science or data engineering is a most sought-after and fulfilling one. 

How to become a Data Scientist?

To work as a data scientist in the booming industry, you must meet certain eligibility requirements. Here are some steps to add strength to your candidate profile among the recruiters.

  • Academic background

Data scientists must have an undergraduate or postgraduate degree in a relevant discipline in Business Information systems, computer science, Economics, Information Management, Mathematics, and Statistics. Moreover, earning an MBA in Data Science is more oriented toward becoming a potential professional.

  • Online courses

Take up online courses relevant to data science that will teach you essential skills such as Statistics, Probability, Linear Algebra, Bioinformatics, speech processing, NLP, computer vision, and more.

  • Prior experience

Any prior experience in the field as a professional or intern will lure high packages and top recruiters. It also helps you to hone your high-level analytics, programming, computing, and visualising skills.

ALSO READ: Why you should become a data scientist

How to become a Data Engineer? 

Certification alone isn’t sufficient to gain a job in the data engineering field. Proper education and experience are also necessary to become a potential data engineer. Here are some steps,

  • Earn a degree

A relevant academic degree in applied mathematics, computer science, physics, or engineering. Furthermore, a master’s degree in computer science or computer engineering will also set you apart from the competition.

  • Online courses

Online courses are an excellent way to obtain critical data engineering skills. There are multiple niches of resources and courses that cover the fundamental concepts for beginners and even consistently get updated for professionals.

  • Experiential learning

Get hands-on experience to gain more practice knowledge on data engineering skills. The first step is to make a project goal and determine the steps to reach it. It will aid in maintaining motivation, structure learning, and business intelligence.

ALSO READ: Why you should become an data engineer

Master your skills with Online Manipal 

As a huge amount of data reshapes the industrial landscape of the current century, new roles in data positions are constantly emerging. Are you interested in helping businesses discover solutions to their problems with data? Does the concept of unveiling valuable data insights with technological advancements inspire your career move? Enrol in the Master’s Programme in Data Science provided by the Manipal Academy of Higher Education (MAHE) with Online Manipal. 

These courses are designed to help aspiring individuals gain a high level of competitive intelligence and high levels of confidence in assessing and managing tasks involving a large set of data produced using innovative technologies. We help you to upskill yourself to experience an interesting and high-paid career in the most demanding field. It’s never late to check out the Data Science course by Online Manipal.

Conclusion

Big data is changing the world, and creating a data-driven culture has become inevitable. But do companies prefer one role over the other? Both Data scientists and data engineers play a crucial role in maintaining the long-term and efficient data infrastructure of an organisation. Despite the difference, their roles are interdependent, complementing each other and aiding in shaping the ever-expanding resources.

Simply put, the data engineer acts as the ‘Architect’ of the data while the data scientist is the ‘builder’ of the plan made by the architect. Whichever path you choose, both jobs will continue to be in high demand through the foreseeable future of the data-driven, digital world. Explore the plethora of courses on Online Manipal today!

Business Analytics FAQs answered

Key takeaways:

  • Data-driven businesses aggressively seek ways to use their data as a competitive advantage and see it as a valuable corporate asset. Their business analysis is the most popular field.
  • Business analysis requires knowledge of disciplines of management, business, and computer science. It requires knowledge of the industry at a high level and awareness of current practical constraints.
  • A good data analyst has excellent command skills such as critical thinking, machine learning, programming, data visualisation and presentation.

Business analytics has evolved to become one of the most dynamic and lucrative career options for individuals with diverse skill sets. The domain continues to flourish across varied verticals and is only likely to expand further and faster in the years to come. However, with growing demand, the field also poses multiple queries in front of business analyst aspirants. Let us discuss some of the most prevalent concerns among those seeking to build a career as a business analyst.

Frequently asked questions on business analytics

What is Business Analytics?


Business analytics (BA) is a collection of disciplines and technology in which several quantitative techniques like data analysis and statistical models are used. It entails a rigorous, iterative examination of data within an organisation with a focus on statistical analysis to drive strategic decision-making.
Data-driven businesses always need ways to use their data as a market advantage and make it a valuable corporate asset. The success of business analytics depends on high-quality data, knowledgeable analysts who comprehend the industry and technologies, and a dedication to leveraging data to uncover insights that guide business choices.

How does business analytics work?


It includes the disciplines of management, business, and computer science. It requires knowledge of the industry at a high level and awareness of current practical constraints. An understanding of data, statistics, and computer science are required for the analytical portion. Business analysts can close the gap between management and technology.
It also includes effective problem-solving and communication to translate data insights into information understandable to executives.

Big data, statistical analysis, and data visualisation are used in business analytics to execute organisational changes, create statistical models to forecast results, and enhance businesses.

What are the three types of business analytics?


Businesses utilise one of three forms of analytics to influence their decisions-

Descriptive analytics
Descriptive analytics is the analysis of current and past data using data aggregation and data mining. These techniques find trends and patterns using visual data representations like lines, bars, and pie charts. Although they provide valuable insights, they frequently serve as the basis for further investigation.

Predictive analytics
A more sophisticated data analysis technique called predictive analytics makes predictions about what might occur in the future using probability. Machine learning algorithms use pre-existing data to form predictions and make an effort to fill in any gaps with the most accurate hypotheses.

Prescriptive analytics
These can estimate the effects of a decision on several possibilities and then mention the best course of action to pursue to meet a company’s objectives.

What skills are required for the role of a business analyst


The most crucial competency for data analysts to possess to handle big datasets is their proficiency with Structured Query Language (SQL), the widely used industry standard database language. The following are the top 3 skills in business analytics –

Critical thinking 
To select the optimal course of action based on what is found to be true, partially true, or untrue, critical thinking employs a variety of skills to organise, analyse, and evaluate the information that is now available. 

Business analysts study issues and opportunities using critical thinking, choose the solutions that will be most valuable, and work with stakeholders to determine how those answers will affect the situation. 

R and Python 
Data scientists and analysts frequently use R and Python, and each has a particular purpose in the process. Today, programming is a key ability in many industries, including business analysis. Business analysts can study and analyse enormous datasets more quickly and efficiently if they can write code. They can use it to adapt their strategies to a particular organisation’s requirements.

Data visualisation
Advanced analytics depends on data visualisation, a component of many business intelligence solutions. It assists people in making sense of the vast amount of information or data produced. Data is graphically displayed via visualisation, such as a pie chart, graph, or other visual presentation. It is one of the top 3 skills in business analytics.

Courses to take up to pursue business analytics


The most well-known business analytics programmes and courses in India are post-graduate ones, such as the PGCP in business analytics, M.Sc. in business analytics, MBA in business analytics and PGDM in business analytics. 

The Postgraduate Certificate Programme (PGCP) in Business Analytics is intended for professionals who want to stand out in the rapidly expanding business analytics industry. BBA business analyst, a post-graduate diploma in business analytics, and MBA in business analytics are some other courses you can pursue.

Top institutions that offer business analytics courses


In India, more than 450 universities and institutions provide various degrees and kinds of business analytics courses. These top schools include Manipal Academy of Higher education (MAHE), IIMs, NITs, and others.

Average fee structure for a business analytics course

The business analytics course’s fee structure varies depending on which course one wishes to pursue. The fee for any data analytics course isn’t much when we look at a data scientist’s perks after entering the market. The cost of each course varies from Rs. 1,50,000 to Rs. 2,50,000. The Online Manipal offers the best range of prices for data analytics courses.

Different job roles that business analytics offers


Data scientist
A data scientist gathers data and uses qualitative analysis to analyse it. They can forecast, assess, and communicate information from their assessments that impact several company divisions and processes. You may easily handle even the largest and most complex sets of data.

Data analyst
Data Analyst analyses data to examine outcomes for a business problem or bottlenecks that have to be solved. It differs from the work of a data scientist, who is involved in finding and resolving crucial business issues that, if resolved, might provide enormous value.

Data engineer 
A data engineer creates, updates, maintains and tests the technology to ensure that it can process algorithms developed by the previous data scientists. Today’s businesses invest a lot of money in data.

Database administrator 
Enterprise databases are used and properly maintained by a database administrator. They also oversee the backup and recovery of data essential to corporate operations. 

Data architect
A data architect is in charge of drafting the plans for data management, which enables the centralised, integrated, and secure use of databases. Data architects provide the platforms and tools required by data engineers to conduct their testing with precision and accuracy.

Analytics manager 
An analytics manager is last but by no means least. All of the aforementioned operations are managed by an analytics manager who also distributes tasks to the various team leaders in accordance with requirements and abilities.

Popular tools used in business analysis


Some of the most popular tools used in business analysis are given below – 

Microsoft Office suite
– MS Power Point 
– MS Word 
– MS Excel 
– MS Visio

Google tools
– Sheets 
– Ads on 
– Analytics

Rational Requisite Pro 
– Useful tool while working on Requirement gathering and elicitation

Balsamiq 
– Product design
– Brainstorming
– Sketching new business ideas

Is SQL important for business analysis?

SQL is important in business analysis. Knowing SQL is a must for practically every business analyst position, as big data and relational databases have become the standard for a majority of businesses. A business analyst’s job is to report, analyse, and use the information to guide economic decisions. 

To successfully recover the data you need, some SQL is probably going to be needed. Learning SQL is quite simple, and it might be useful in the job market.

Is Python important for business analysis?


Many people wonder if business analysis requires coding. Yes, the knowledge of a programming language plays a significant role. 

Comparatively easy to learn
Some could argue that is Python important for business analysis. Python is among the simplest programming languages to learn. It features a huge number of excellent learning resources and a relatively straightforward syntax.

Backed by a large community 
Python is generally very well-liked. Because of this, there is a good chance that someone else has already encountered the problem you are having. As a result, you can always get assistance or perhaps even a ready-made solution.

Standard library 
When it comes to ready-to-use solutions, analysts are frequently more accustomed to working with them than developers, who are more at ease creating their own. In other words, the availability of many excellent Python packages for data analytics is a huge advantage. The libraries and the simplicity of code give the answer to the question of whether Python is important for business analytics or not.

Does business analytics require coding?

For a profession in business analytics, coding proficiency is not a requirement. But to have a job in analytics, you must have at least a basic understanding of technologies like R and SQL. How would you play with data otherwise?

In addition, you should be able to apply statistical models to data and extract data at a basic level to go along with your master’s degree. The rest is all maths, statistics, knowledge application skills, and driving technique.

How does a master’s in business analytics help you?


One may wonder about the benefits of a master’s degree in business analytics. Data science, information theory, business intelligence, and computer science all come together well in a master’s degree in business analytics. Its main objective is to transform dense data into usable intelligence by utilising various quantitative and statistical techniques. 

Simply defined, a master’s degree in business analytics focuses on data mining to achieve specific business objectives; rather than emphasising assessing historical performance, it is more interested in predictive and prescriptive methodologies.

Is business analytics a good career choice?


Many students wonder whether business analysis is a good career choice or not. The following description gives a clear answer. 

High salary, a wide variety of job options, and generally high levels of quality of work-life balance make this a solid career choice. The opportunities are limitless, which is another benefit of a job in business analysis. A business analyst can work in every area of operations, on any kind of business team, and in any sector of the economy. Therefore, two business analysts can have quite different career trajectories.

Wrapping up 

If you’re interested in a rewarding career but wonder how to build a career in business analytics, you can go through the online master’s courses and programmes offered by Online Manipal. Professionals who want to advance in their careers can benefit from this M.Sc. degree in business analytics. 

You will graduate from the programme with the technical know-how required to launch a successful career as a business analyst.

Why you should become an data engineer

Key takeaways:

  • When it comes to data, data engineering is a crucial discipline.
  • Data drives the operations of both small and large organisations. Businesses use data to answer pertinent questions about everything from consumer interest to viability of their products.
  • Data is, without a doubt, a crucial component of growing your business and collecting insightful information. 
  • Working as a data engineer gives you an opportunity to directly impact society in a world where we’ll be producing 463 exabytes every day by 2025 and making data scientists’ lives easier.

Working in the field of data engineering can be challenging and satisfying. You’ll be a key player in a company’s success by enabling data scientists, analysts, and decision-makers to access the information they require to do their jobs. You’ll rely on your programming skills and analytical abilities to develop scalable solutions.

Data engineering skills are key to any organisation since data is always being processed. In India, the market for data engineering in 2022 stands at USD 18.2 billion. It is anticipated that this would increase during the following five years at a CAGR of 36.7%, reaching USD 86.9 billion by 2027. Of all non-IT businesses, banking and insurance employed the most data engineers.

According to Glassdoor (May 2022), the average pay for a data engineer in the US is USD 115,176. However, some data engineers make upto USD 168,000 annually.

Not all positions in data engineering are entry-level. In fact, many data engineers begin their careers as business intelligence analysts or software engineers. As your career develops, you might take on managerial duties or work as a solutions architect, data architect, or machine learning engineer.

What is data engineering?

A data engineer is an IT specialist whose primary duty is to provide data for analytical or operational use. They integrate, consolidate, and clean the data to prepare it for analytics systems. They aim to make data more accessible and enhance the big data environment within their company.

Data engineers use different amounts of data depending on the size of the organisation. As the organisation grows, the analytics architecture will get more complex, and the engineer will be responsible for more data. Teams of engineers and data scientists work together to promote data transparency and provide organisations with the resources they need to make more reliable business decisions.

The demand for data engineers

Big data engineers fall within the categories of statisticians and information and computer research scientists, according to the Bureau of Labor Statistics (BLS). The employment prognosis for each of these two categories is as follows:

  • Statistician: Starting from 2020 until 2030, jobs are expected to expand by 33%. The employment of computer and information research experts is expected to rise by 22% by 2030. 
  • Computer research scientists: The BLS estimates that demand for big data engineers jobs will rise drastically over the next four to five years, making this a promising career path to pursue, which is why most people want to be a data engineer.

Evolving field

Since the value of data is so widely acknowledged, it won’t be long until it appears on a company’s financial statements as an asset. Statista.com predicts that between 2020 and 2025, the amount of data/information produced/captured, transferred, and consumed globally will rise from 64.2 zettabytes to 181 zettabytes. However, sound data engineering is crucial for businesses to use that data efficiently.

A drawback of having a lot of data is that modelling it might be difficult. To prevent models from being fed inaccurate or irrelevant data, it is essential to comprehend and analyse data. Although discussions on maximising the value of data frequently centre on AI (artificial intelligence), machine learning, and algorithms, it’s crucial to consider how that data is strategically gathered, transformed, and distributed. 

Data engineers must ensure that the data supplied to business users is relevant, of high quality, and reliable for firms to profit from the data they have invested in gathering and maintaining.

Roles and responsibilities of a data engineer

The following is a list of the duties that are included in the data engineer job description:

Working on the data architecture, they plan, develop, and maintain data architectures systematically while keeping them in line with business needs.

  • Gathering data

The correct data must be gathered from appropriate sources before starting work on the database. Data engineers then store the processed datasets after creating a set of processes.

  • Industry research

Data engineers conduct industry research to solve problems that may come up while solving a business challenge.

  • Improve data engineering skills

Data engineers don’t just rely on abstract database theories. Regardless of the development environment that they are working in or their programming language, they must be capable. They must also keep up to date on machine learning and associated techniques, such as k-means, decision trees, and random forests.

Data engineers must be adept at using analytics programmes like Apache Spark, Tableau, and Knime. They must produce insightful business data for a variety of sectors using these methods. Data engineers, for instance, can make a difference in the healthcare sector by spotting trends in patient behaviour that can be used to enhance diagnosis and treatment.

ALSO READ: Data scientist job role and description

Data engineering skills and tools required

Data engineers need a variety of programming languages, data management tools, data warehouses, and other tools for data processing, data analytics, and AI/ML to develop such a robust data infrastructure. The following are some tools and data engineer skills they need to be proficient with.

SkillsTools
CodingSQL
Data warehousingPython
Knowledge of operating systemsPerl
Database systemsJava
Data analysisC and C++
Critical thinking skillsAmazon Web Services
Understanding of machine learningHadoop

Industries that require data engineers

Data usage has dramatically increased during the last few years. More people, groups, companies, etc., are using data in their regular operations. People used to place a greater emphasis on insightful analysis and insights, but they have since realised that maintaining data demands just as much attention. Data engineer skills are in high demand in almost all industries. Listed below are some of them.

  • Healthcare and pharmaceutical

It takes careful consideration to launch a career in the healthcare industry. Therefore, if you choose to enter it, be sure that you are prepared to deal with facts that may be related to people who are having a difficult time with their lives. 

Therefore, working in this field is a humanitarian endeavour, and you must be cautious while developing your data science strategy to provide the most insightful solutions to data problems.

  • Telecommunications sector

Mind Commerce estimated that the big data and data science industries will help the telecom sector develop at a compound annual growth rate of 50%, with annual revenue reaching from USD 59 billion in 2019 to over USD 105 billion in 2023. Because of the readily available analytics software, data storage prices have significantly decreased, and computer processing power has increased. Consequently, a data engineer’s job description has become simpler.

Because of the data obtained from customer behaviours like voice, video preferences, SMS, social media activity, and demographics, telecom companies can offer personalised services and products.

  • Internet industry

The data explosion brought on by advanced technology, big data, and cloud computing is now strengthening the internet sector. Data scientists have an incomprehensible amount of data at their disposal, which they use to create personalised recommendations, conduct sentiment analysis, analyse videos, etc. 

With billions of people using the internet, sharing images and videos on social media, and conducting Google searches every second of the day, it is no surprise that the internet sector, e-commerce, and social networks are thriving to an inconceivable extent.

Opportunities & hiring companies

Data engineering is the new gold of the 21st century. Here are a few companies that provide the eBay opportunity to start a career.

  • Amazon
  • CBRE
  • Allied Universal
  • Aya Healthcare
  •  Humana
  • PwC
  • Marriott International
  • Northwell Health
  • UnitedHealth Group
  • JPMorgan Chase
  • Aramark Corporation
  • Verizon
  • Randstad US

Career growth options

Like any job in software engineering, a data engineering roadmap can take you through different avenues. You might advance to the status of a key contributor. Additionally, you might manage a group of engineers. The data engineer roadmap is quite big and worth exploring, to begin with.

Pay scale

According to Glassdoor, the average Data Engineer salary in India is Rs. 8,56,643 LPA. Of course, a number of variables affect a data engineer’s compensation, such as the company’s size and reputation, location, educational background, position held, and experience. 

Data engineers are typically paid well by reputable businesses and major participants in the Big Data sector, including, but not limited to, Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini. Additionally, your market value will increase the more Big Data-related employment experience you have.

How to become a data engineer?

You can begin or advance your data engineering career with the right abilities and knowledge. By acquiring a degree, you may lay the foundation for the information you’ll need in this rapidly changing sector. To expand your career and open doors to opportunities with possibly greater salaries, consider getting a master’s degree.

You can take a number of different actions in addition to getting a degree to position yourself for success.

  • Improve your knowledge of data engineering
  • Earn a credential by enrolling a data science programme
  • Create a portfolio of work, including data engineering
  • Pursue an internship
  • Apply in a entry-level job

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Closing remarks 

It is a great time to think about becoming a data engineer, given the continual increase in demand for data analytics and Big Data opportunities in India and beyond. It is predicted that there will be more career opportunities in the data science field in future. 

Visit Online Manipal’s website if you’re interested in learning more about data engineering. They provide an M.Sc. in Data Science programme online. Expert faculty from Manipal Academy of Higher Education (MAHE) has designed the curriculum, which prepares future-ready professionals. From the comfort of your home, you can  become an expert in data science and thrive in your career.

Why you should become a data scientist

Key takeaways:

  • Data science combines various statistics, mathematics, and business operations. It revolves around evaluating and simplifying raw data using various artificial tools. Data science has emerged as one of the most flourishing careers in technology. Every organisation requires data scientists.
  • A data scientist deals with the operations of data science. A data scientist’s basic role and responsibility is to get insight into raw data, evaluate the required and necessary information, and arrange that information so every sector of the firm can use it.
  • Those who want a high paycheck and are interested in technology should pursue their career in data science. Moreover, the job opportunities in data sciences are increasing by every passing day.
  • Students interested in a career in data science have the opportunity to work with international companies like Facebook, Microsoft, and Amazon.

Due to growing technology, data science has emerged as its apotheosis. A data scientist is a highly required designation in any organisation. Data science revolves around developing strategies for analysing data, exploring data, preparing data for analysis, visualising data, and using programming languages such as R and Python. Moreover, it includes using processes, algorithms, scientific methods, and systems to extract knowledge and insight from structured or unstructured data.

Data science was used long ago but recently got highlighted due to emerging technology. Nevertheless, in 1974, Peter Naur proposed it as an alternative name for computer science. However, most people ask, is data science a good career? Data science is an excellent career option in India and worldwide, with tremendous opportunities and a high-paying scale. 

Moreover, it is one of the fastest growing fields in terms of technology across the globe. Data scientist salary in India is higher than most job profiles. Moreover, Apple, Facebook, Microsoft, and Google are top-notch companies that need data scientists. 

The career growth in data science is diverse. A data scientist can seek various job opportunities such as mathematics, research data scientist, vertical expert, data engineer, and statistician. Moreover, the best part about being a data scientist is that you are eligible for a remote job, i.e., you don’t always have to work on-site. 

What is data science?

Numerous data science experts have given significant definitions to data science. However, it can be best described as a field that applies advanced analytics techniques and scientific problems to extract valuable information from data for business decision-making, strategic planning, and other uses. It combines statistics and mathematics, business, and computer science.

The demand for data scientists

Data science is a fast-growing field. Since 2012, there has been a 650 percent increase in participation in this industry. Moreover, the market is expected to grow from USD 37.9 billion in 2019 to USD 230.80 billion by 2026. The data evolved by data scientists has many different purposes, and the linking has assured data science as the most promising career with diverse job profiles. 

The jobs for data scientists are open for people skilled in python, SQL, business, statistics, and computers. Data scientists have a vast knowledge of computer technology, including computer systems and programming languages. They hold their expertise in managing and analysing a large amount of data. 

Evolving domain

The role of data scientists is diverse. All types require companies to manage their data in various job profile roles. India has the best companies to work for as data scientists. Data scientists extract hidden information from huge data to provide insights for decision-making that improves the status and strength of an organisation. Moreover, it is a highly paid and prestigious position that capitalises on technological disruptions to simplify complex working. 

READ MORE: Rising demand for data science in India

Benefits of data science

Data science is one of the most important aspects of technology. Being a data scientist offers various advantages, some of which are mentioned below:

  • Data scientists are required in every field, be it business, mathematics, sales, marketing, or artificial intelligence. Moreover, big social networking sites like Facebook, Instagram, and WhatsApp require a team of data scientists for smooth execution of work. 
  • Pursuing your career in data science opens doors to various postings in sales, marketing, business, computing, etc. However, the best part is that a data scientist can work from home or remotely.
  • The salary offered to data scientists is higher than the average salary received by an individual in India. Moreover, as per stats, on average, a data scientist earns around INR 10.5 Lakhs per annum. 

Diverse roles and responsibilities of a data scientist

Being a data scientist is not a piece of cake. A person needs to learn, research and train oneself to be specialised in this field. Data scientists have huge responsibilities on their shoulders. Mild inconvenience to their work can affect the workflow of the whole organisation. Here are some roles and responsibilities of the data scientist:

  • Take raw data and analyse it for efficient working 
  • Process unsaturated data so it can be useful for the company
  • Analysing various patterns and trends to check the demand for a product or service in the market
  • Constructing machine learning algorithms and predictive models for the execution of data
  • Presenting data in the form of visuals, so it is understandable and approachable to everyone present in the organisation.
  • Provide a solution to an existing problem and try to identify the upcoming error
  • Collaborate and communicate with product development teams and the engineering team

Skills and tools required in data science

Data Scientists are liable for utilising their programming abilities to develop automated systems that assist organisations in further developing business activities. Their duties include gathering crude information from various sources; this involves creating new studies and transferring it into an appropriate format which is then analysed. 

  • A data scientist’s qualification involves a degree in computer science with good academic credentials and relevant experience in the same field.
  • Data mining is analysing raw data to get favourable outcomes along with a good understanding of machine learning and operation skills.
  • Knowledge and working of R, SQL, and python with reference and understanding of java, C, C+, and C++.
  • Strong hold on mathematics, especially with algebra and statistics.
  • Have a good understanding of business analytics and intelligence tools such as Tableau and Hadoop.
  • Decision-making and problem-solving aptitude with good communication skills, written and verbal and presentation skills. 

READ: The data science roadmap explained

Industries that require data scientists

Data science is a flexible and vast field that is required in every organisation. The main purpose of appointing data scientists is to analyse raw data and assemble the extracted data in a useful manner. However, the following are some of the fields that are associated with data science –

  • Finance
  • Banking
  • Cybersecurity
  • Digital marketing
  • Retail
  • Media and entertainment
  • Tech startups

Opportunities and hiring companies for data scientists

The scope for data scientists is vast. Almost every company associated or non-associated with technology requires a data scientist to examine their stats. But following are some priority companies that are hiring data scientists –

Top companies hiring data scientists
Microsoft
Amazon
EY
Google
VM ware
Walmart
Splunk
Numerator
Databricks
Cloudera
Unified

Career growth as a data scientist

Data science not only opens doors to various opportunities but also has terrific career growth. This field allows an individual to flourish and grow. Moreover, with time, the individual learns various new things. Data science improves the work of experts and provides them with the motivation to learn new things.

  • An individual who has been in this field for more than three years is eligible to qualify as a senior data scientist. 
  • A data scientist can also widen his/her footstep to become a data analyst. The job of a data analyst is to gather and interpret data to solve specific problems.
  • A data engineer deals with a variety of settings to build systems that collect, manage, and convert raw data into usable information for business analysts and data scientists to interpret.
  • A business intelligence developer is in charge of generating, organising, and maintaining the company’s interfaces. These include data visualisations, dashboards, regular and impromptu reports, and data querying tools for users to obtain the required information.

Data scientist salary in India and worldwide

The average pay scale for a data analyst in India is around INR 90,000 per month. However, top data scientists also receive a salary of around INR 25-40 lakh per annum. A fresher may receive a package of INR 5 lakhs per annum that increases with time. Data scientists working in Bangalore and Mumbai receive the highest salary.

How to become a data scientist

A step by step process to become a data scientist –

  • The aspirant needs to earn a bachelor’s degree in data science or related field.
  • Academic credentials are required to ensure expertise in the field.
  • Related short courses will help the individual acquire more skills.
  • Work on computer language and skills associated with data science like mathematics, statistics, communication skill, and business skills.
  • Check for vacancies for data scientist roles in companies 
  • Send your detailed resume to hiring organisations.
  • Prepare yourself for an interview. The interviewer might ask you a question about why you want to become a data scientist. After a successful interview, you will work as a data scientist.

Final words

Online Manipal is a digital learning platform that enables you to pursue various degrees in business stats and science. The degrees and courses are affiliated with Manipal Academy of Higher Education (MAHE). Currently, Online Manipal offers online M.Sc. in Data Science to prepare future-ready data scientists. The best part about Online Manipal is that you can learn at your pace with experienced faculty.

Job roles in MBA Operations Management

Operations management is the regulation of business practices and operations to maximise organisational efficiency. It forms the most important component and aspect of any business. The person in charge of the operations department is responsible for ensuring the quality and output of the product in the manufacturing facility and the regulation of the processes involved to maximise the organisation’s profit. Future prospects for graduates with an MBA in Operations Management are expanding with industry advancements, and new opportunities in the sector will keep increasing in the years to come.

The MBA in Operations Management programme aims to spread information about the working of an organisation and the development and administration of resource capabilities employed by a company to produce goods or services. MBA in operations management scope is very high because this programme prepares students to take on difficulties in supply chain management and logistics. Students who complete their MBA with a specialty in operations management have huge growth chances in the management and planning sectors of any corporation.

Operations management deals with a variety of duties connected to commercial concerns, including forecasting, product designing, supply chain processes, inventory, maintenance, and quality control. Individuals are usually hired for roles in resource management and operations handling. Another important reason behind the popularity of this career field is an MBA in Operations Management graduate’s handsome salary package. The average salary of an Operations Manager in India is around ₹ 7.5 LPA. 

Objectives and applications of Operations Management

Many top recruiting companies offer excellent opportunities to MBA candidates with the Operations Management specialisation. 

The major objectives of Operations Management are:

Customer service: The main goal of operations management is to use organisational resources to provide goods and services that meet customers’ expectations by delivering the “right thing at the appropriate price, place, and time.”

Resource Utilisation: Another important goal of operations management is to utilise the organisation’s resources as efficiently as possible to meet the standards and customer demands.

In operations management, various inputs, including the capital, labour, material, machinery, and information, are integrated and used to create output in the form of products and services. The organisation measures several process points and compares them to the established standards to determine whether corrective action is necessary.

Applications of operations management are:

Operations management is the decision-making and problem-solving method followed during the creation of goods and services. It involves all the processes while producing goods which entails planning, organising, coordinating, and controlling the resources required for the production of the goods and services of a company. Operations management has a wide range of applications..

Project allocation and distribution:

  • Allocating resources, such as people, materials, machinery, time, and money, to projects in the best way possible.
  • Selection and use of the appropriate personnel.
  • Project planning, oversight, and management.

Planning for production and facilities:

  • The choice of factory size and location.
  • Calculating the approximate number of facilities needed.
  • The creation of projections for the different inventory products and the calculation of reasonable order quantities and reorder points.
  • Scheduling and ordering production runs using the appropriate machine allocation.
  • Selecting a warehouse location.
  • Decisions about maintenance policy.

Career after MBA in Operations Management 

The operations of any firm or business depend on efficient operations management, including product quality and pricing. The knowledge of maximising resources, products, policies, design flows, establishing the supply chain, and logistics concerning the product will be taught to students studying in an MBA in Operations Management programme. Individuals with an MBA in Operations Management degree can easily apply their skills and experience to help organisations achieve their goals. 

There is an availability of various jobs in operations for freshers in the field. The subfields of operation management, including retail, hospitality, logistics, transportation, construction, financial institutions, information technology, management consulting, and others, are where individuals can develop their careers. Some of the common job roles offered to individuals with this specialisation are:

  • Supply Chain Manager
  • Logistics Manager
  • Inventory Control Manager
  • Project Manager
  • Operations Manager

People specialising in operations management in their MBA programme are more prepared to face issues in supply chain management, design, and logistics. Operations management deals with a variety of strategic concerns, such as deciding the size of industrial facilities, project management techniques, and putting information technology networks into place. Other operational concerns include work-in-process levels, raw material acquisition, quality control, material handling, maintenance procedures, and inventory management.

Here are the various job roles that you can land after an MBA in Operations Management 

Operations Executive

The Operations Executive is the office team member who directly controls operations and facility upkeep. Although the Operations Executive typically has direct access to senior management, they can report to numerous departments within the organisation, including the Facilities Executive, Chief Financial Officer, or Chief Operations Officer.

The following duties are part of the Operations Executive role:

  • Interacting with senior management to establish strategic, operational objectives.
  • Creating long-term strategic plans to accomplish strategic goals.
  • Creating and managing the budget for the organisation’s financial, operational and capital projects.
  • Monitoring the performance of internal and external service providers in terms of operations.
  • Monitoring the state of the facilities and performance of the environment, suggesting or approving funding amounts and spending schedules
  • Creating an environment at work that encourages productivity.
  • Keeping an eye on occupant contentment.
  • Keeping an eye on rehabilitation and construction projects.
  • Tracking performance indicators.
  • Obtaining clearances and notices and responding to them.

The average salary of an Operations Executive in India is ₹ 2.6 LPA.

Area Operation Manager

The Area Operation Manager controls and successfully manages labour, productivity, quality assurance, and safety standards as developed and set for the operations department. They manage overall operations processes. The Area Operation Manager represents the corporation in governmental matters. They are usually in charge of the areas of information management, business processes, improved management reporting, and system expansion, improved operational procedure, systems, and principles. They fulfil their supervisory duties in accordance with the company’s rules and relevant legislation.

Some of the duties and responsibilities of an Area Operation Manager are:

  • Interviewing, choosing, and hiring employees.
  • Training new and existing employees.
  • Planning, allocating, and directing workflow.
  • Authoring and discussing performance appraisals with employees to motivate and reward employees.
  • Addressing employee performance and corrective action plans.
  • Coordinating with the director to plan the company’s budget.

The average annual salary of an Area Operation Manager is ₹ 7.1 LPA.

Deputy Manager

A Deputy Manager is a senior executive who works in an organisation directly under the manager and supports the manager in carrying out their responsibilities. Deputy managers support the creation, development, and implementation of numerous firm initiatives and programmes. They collaborate with other divisions to guarantee efficient business operations. Additionally, they communicate with senior management before making important choices pertaining to numerous departments. Their precise role and responsibilities may change depending on their function and the organisation they work in. For instance, the duties of a Deputy Manager employed by a marketing firm will differ from those of a Deputy Manager employed by a bank. The salary package will also vary based on the organisation and work sector. The average salary of a Deputy Manager in India is ₹ 7.2 LPA.

Operations Manager

Operations Managers are in charge of all levels of an organisation’s operational activities and are also responsible for hiring, training, and overseeing quality control initiatives. An operations manager develops a process improvement strategy to guarantee that everyone completes their job on time. The average salary package of an Operations Manager is ₹ 7.5 LPA.

General Operations Manager

The General Operations Manager manages several departments or locations while planning, directing, or coordinating the activities of public or private sector organisations. The General Operations Manager creates policies, manages daily operations, and plans the use of materials and human resources. However, these duties and responsibilities are too varied and general to be categorised in any one functional area of management or administration, such as personnel, purchasing, or administrative services. The average annual remuneration of a General Operations Manager in India is ₹ 18.5 LPA.

Plant Manager

A manufacturing plant’s operations and processes are under the control of the Plant Manager. To consistently maintain good performance and production entails managing and coordinating everyday tasks. 

Other responsibilities of a Plant Manager include:

  • Make sure corporate policies and procedures are followed.
  • Helping new workers get settled in.
  • Giving employees access to training and educational resources.

A plant manager’s professional growth could lead to a directorship or executive post, depending on the business. The average annual remuneration of a Plant Manager is ₹ 10.6 LPA.

Manufacturing Consultant

Manufacturing consulting’s role is to advise on and implement manufacturing initiatives from the sales floor to the boardroom. Manufacturing consultants take a holistic view of the business, ensuring that all operational functions are understood and acknowledged. The goal of a Manufacturing Consultant is to offer clients answers for their evolving business demands. The scope of the engagement is extremely flexible and may involve developing the fundamental strategy, implementing it on a big scale, optimising processes, managing change, and introducing new technologies. The average salary package of a Manufacturing Consultant is ₹ 16.3 LPA.

Know the prerequisites to become an operation manager

Top companies that hire candidates with an MBA degree in Operations Management are:

  • Accenture 
  • MEIL 
  • L&T
  • KPMG 
  • ICICI Lombard 
  • Flipkart 
  • HDFC Bank
  • IBM
  • Casting Networks
  • EY
  • Randstad
  • Optum Global 
  • Myntra
  • Amazon

Online Manipal’s MBA programmes allow you to dream big 

Manipal University Jaipur is a NAAC, A+ accredited institution that offers UGC recognised MBA courses to applicants. The online learning platform, known as Online Manipal, provided by Manipal University Jaipur, enables students to enrol and complete courses online from anywhere in the world. Online Manipal’s online MBA programme gives you all the exposure you need to thrive in your career. The programme will help you in honing your skills to become a skilled professional. The course mainly focuses on developing the managerial and critical skills of the candidate. The course has many case studies to help candidates better understand the concepts of the programme. Online Manipal also provides placement assistance and provides free access to courses on Coursera. Thus, Online Manipal’s intricately designed MBA programmes allow you to dream big and land your dream job.

Conclusion

Operations management forms one of the basic components of businesses. Careers in operations management are thriving in today’s time with the requirement for more skilled people in operations management. Many UGC-recognised institutions offer online MBA degrees with multiple specialisations to individuals interested in advancing their careers in a particular field. Manipal University Jaipur is one such esteemed institution that offers a variety of online degree programmes in various fields.

How an MBA in Creative Economy will help you?

Creative Economy is a new evolving concept, and the term was first popularised by John Howkins in 2001. He used it in relation to arts, cultural goods, services, games, research and development. Creative Economy doesn’t have a fixed or single definition as such. It is an economy that combines human creativity and management aspects. It includes creativity, intelligence and ideas with the finance and revenue aspects. 

You might have heard the term creative industry and wondered what it meant. In simple terms, it means the commercialisation of creative art. It is doing business that involves art and intellectual property. An artist creates art, but the process of finalising the creative product and making it available in the market for final buyers involves various steps and people. 

MBA in Creative Economy combines the creative part along with the management aspect of the creative industry. It provides a great opportunity to work with creative people. An MBA in Creative Economy will equip you with the necessary skills required to manage and handle licensing, promotion, retail and marketing of your client. You will be able to effectively use your communication and managerial skills in the creative industry. 

Anyone who has an interest in the creative industry and wants to make a career in it can enrol in a two years MBA programme. The candidate either should have a relevant undergraduate degree or have relevant work experience in the creative field to enrol in the programme.

What are different creative industries?

Different creative industries

The Creative Economy is one of the most important factors in a nation’s Economy. It has different industries, and each industry is unique and special. Let’s look into some of the types of creative industries.

  • Arts: Art is the application of human creativity and imagination. It includes paintings, scriptures, cartoons etc.
  • Music: Digitalisation has equally impacted the music industry. There is a shift from physical music cassettes and records to digitally downloadable formats. The launch of music streaming services has further revolutionised the industry.
  • Digital Marketing: It is a type of marketing that uses digital media. The aim is to promote brands and accrue potential customers from the internet.
  • Social media Apps: Social media has become an integral part of our daily lives. We use social media to connect with our loved ones to search for our next best job. It has made our life convenient. Creating and maintaining new social media apps is also a blooming career choice.
  • Fashion Management: Fashion keeps changing from time to time and one has to come up with new designs and ideas to stay ahead of the competition. Fashion industry is one of the trending creative industries across the world.
  • Publishing: This industry primarily consists of publishing houses, writers, editors and a marketing team. Self-publishing is a new concept that gives writers greater creative freedom, but they still need a team to reach the final stage. The new technology era has introduced digital forms of publications like ebooks, audiobooks etc. 
  • Architecture: It includes interior designing, building planning, structure development, town planning and preservation of monuments. 
  • Media: Media and entertainment industry has an extensive area of operation. It includes films, TV shows, radio, documentaries etc. This industry is dynamically evolving with streaming services and the launch of different production houses. We are in the era of the best creative media products.
  • Advertising: Every company will have a team of dedicated creative employees that will design and plan advertisement campaigns. It is a continuous process that companies undertake. It could be in-house or can be hired from outside. Their responsibility is to create good appealing advertisements.
  • Entrepreneurship: It is the art of setting up and running a business. Planning, organising and managing a business along with uncertainties need lots of creativity and skills. 

Stay ahead of the competition with an MBA in Creative Economy

Whether you are a student or someone working in the creative industry, an MBA in Creative Economy will give you that career growth advantage over other candidates. As it is a relatively new programme, the pioneer students will have an advantage over others. The benefits are numerous; let’s look into a few of the benefits of the MBA in Creative Economy programme.

  • Existing professionals: If you have experience working in the creative industry, this MBA will help you climb the corporate ladder. The combination of degree and experience will provide various new opportunities in industries like music, tv, publishing house, etc. 
  • Increase your earning potential: An MBA holder generally is highly paid compared to his contemporaries. So enrolling in a master’s in the creative industry will increase the chances of getting high-paying jobs. 
  • Sharpen your skills: The programme is designed to provide real-life experiences and case studies from the industry’s current scenarios. These case studies prepare students for the future. They will be able to apply the knowledge gained during the course and effectively perform their duties. 
  • Network expansion: The MBA programme will provide an opportunity to network with industry personnel. The course content is designed by experts and industry leaders. It is a great opportunity to interact with them. Many universities conduct project trips to help better understand and develop relations that will help in the future.
  • Enhance knowledge: Life is a continuous learning process. Nothing can beat the experience one gains in the field. It is very crucial to stay up-to-date with the latest developments in any field. Pursuing a degree in the creative economy will surely enhance your knowledge base. 
  • Emerging domain: Creativity has become one of the core aspects of the economy. Companies like Netflix, Hulu etc., are hiring efficient candidates to manage their different fronts. So there is a requirement for the professionals that can apply a combination of managerial and creative skills simultaneously. 
  • In-demand skills: The MBA in Creative Economy course is packed with skills and experiences that are widely popular among employers. Gaining these in-demand skills will make you a desired candidate in the eye of the prospective employer.
  • Professional development opportunities: The MBA programme enhances the overall personality of the student. It helps individuals develop a proper professional outlook. 
  • Varied job roles with lucrative salaries: The MBA degree will open doors to new opportunities. The candidate will be able to explore new job roles and profiles which might not have been available without this specialisation. 

Uninterested in regular domains of work? Choose the right creative specialisation

There are numerous advantages to pursuing an MBA in the Creative Economy.

  • Managerial skills: It will provide necessary skills and training to facilitate managing creative work. The product of creative work is similar to other products, and they need to be marketed and managed just like any other goods or services.
  • New industry: Creative industry is evolving at great speed, as MBA in the Creative Economy is not yet popular. There are untapped opportunities that one can explore with higher education. 
  • Excellent communication skills: Working as a manager for a singer or painter, or any creative person, you will mostly interact with different people and represent your client. The MBA course will help you develop the required communication skills. 
  • Opportunity to work with creative people: The creative industry is loaded with creative people and famous personalities. This MBA programme will open new avenues and opportunities for individuals to work with them. 
  • Creative thinking: Working in this field will help in developing innovative and creative thinking. As the industry is evolving and changing rapidly, candidates must be updated with the changing industry. The MBA will develop and train important industrial skills. 
  • Career change: If you are someone looking to take a leap and want to try something different, the creative industry provides amazing and challenging opportunities. To start a career in this field, an MBA in Creative Economy will provide the necessary platform to launch your career. 

Art director

The art director is responsible for the visual elements such as images and graphs. Their main motive is to create a visual aesthetic component that properly resonates with the theme of the topic. 

Advertising manager

They are responsible for managing the advertising strategy of the company. They focus on developing company-specific and brand-specific advertisements. They work with other staff members and set visions and goals for the team. They are responsible for directing, controlling and monitoring the operations of the advertising department. 

UX designers 

They are responsible for designing the user experience of any app, website or product to make it smooth, enjoyable and accessible. They are responsible for overall user satisfaction. Their key responsibilities involve:

  • Understanding the user: It is like stepping in the shoes of the users and thinking about what problems a user might face and how to solve them. 
  • Conduct research: They conduct research about users’ needs, demands, preferences and behaviour. 
  • Analyse the data collected in the previous step.
  • Design: At this stage, the UX designer will build a design, prototype, site map, etc., which will help the team better understand the final product. 
  • Testing: it is a test run of the product. It helps in finding out how a real user will interact with the product and tracking any problems.
  • The final stage is submitting the final product to the company. 

Interior designer

Interior designers use their creativity in managing and designing the interior of a home, office, or any commercial space. They create aesthetic and pleasing indoor spaces. Their main aim is to make the available area functional, comfortable, and visually appealing as per the client’s needs. They discuss with the clients and understand their requirements and expectations and use their creativity to deliver the final product.

Marketing director

A marketing director is the head of the marketing department. They provide guidance and make all important decisions for the marketing team. They continuously evaluate and coordinate different marketing projects. They are responsible for making marketing strategies for promoting products and services. They organise trade events, meetings, promotional events etc. 

PR director

They interact with media persons and are representatives of their client or company. It is their responsibility to maintain a positive image for their clients. They conduct conferences and interaction events to build a favourable reputation in the market.

Brand manager

The brand manager studies the target market and consumers and designs brand strategy accordingly. They aim to capture maximum attention and use tactics that make potential customers relate to the brand. 

Front-end web developers

A front-end developer creates websites and web applications using web technologies. Their main objective is to ensure that the website visitors can easily understand and interact with the website.

Online Manipal leads the way for online MBA aspirants

Online Manipal, the online platform offered by Manipal University Jaipur, lets you pursue an online MBA degree from the comfort of your home with a wide range of specialisations. You can select the specialisation as per your interest from the available options. The Online MBA degree from the UGC accredited and NAAC A+ rated Manipal University Jaipur opens up doors of new opportunities. The MBA programmes are designed to impart the necessary skills and training for students to help them excel in their career. Online Manipal provides various specialisations for their MBA programme, such as Finance, Marketing, Retail Management, Human Resource Management, Analytics and Data Science, BFSI, IT & Fintech. 

Individuals who want to advance their careers can opt for online MBA programmes. Once you enrol for the MBA programme, you get trained by the best faculty at Online Manipal, gain free access to Coursera courses, attend webinars of highly-qualified industry experts, interact with alumni and other advisors for career guidance The real-life based case studies will prepare students to face any challenges in the the future. 

Online Manipal provides placement assistance for students to help them land their dream jobs through internal skill assessment exams, resume building workshops, and interview preparation. The online MBA course fee is very affordable and varies from specialisation to specialisation. The University also runs various scholarship programmes, thus making MBA accessible for everyone. 

Conclusion

We are living in an era that sees continuously evolving trends and technologies, and it is the best time to embark on a career in a creative industry. A career in creative avenues might initially sound intimidating, considering it is an unconventional career prospect. But with the right degree, one can surely excel in this new evolving domain. Join an online MBA programme from a reputable organisation such as Manipal University Jaipur and add relevant skills, experience, and credentials to your resume.

Important concepts to learn during an MBA in BFSI

A career in the banking, financial services, and insurance (BFSI) sector can be immensely rewarding. This sector offers huge opportunities for growth and advancement, and the work can be both challenging and exciting. For those considering a career in this field, an MBA in BFSI can be an excellent way to gain the skills and knowledge needed to succeed. An MBA in BFSI covers a wide range of topics, from finance and accounting to risk management and insurance. As a result, students who complete this programme will be well-prepared for a variety of roles within the BFSI sector. In addition, an MBA in BFSI can help students to develop essential soft skills, such as team-building, leadership, and communication. These skills will be invaluable in any career, but they are especially important in the fast-paced and ever-changing world of BFSI.

A few important concepts you’ll learn during your studies are: Asset management is a key concept that all MBA students in the BFSI specialisation must master. It includes understanding how to effectively manage different types of assets, such as stocks, bonds, and real estate. You’ll also learn about risk management and how to minimise the potential for losses. In addition, you’ll gain an understanding of financial analysis and financial modelling, which will be essential in making investment decisions. With a comprehensive understanding of these concepts, you’ll be well-prepared for a successful career in the financial services industry. Read along to understand in-depth the subjects taught in an MBA in BFSI programme, the core concepts you need to master and the career options you can choose after completing the programme.

Which subjects are taught during an MBA in BFSI?

The MBA in BFSI course is designed to meet the increasing demand for professional management in the banking, financial services and insurance sector. The course covers a wide range of subjects, including economics, finance, accounting, marketing and management. In addition, students are also required to complete a project on a topic related to the banking and financial services sector. Admission to the course is generally based on the candidate’s performance in an entrance test such as the CAT or GMAT.

The MBA in BFSI is a 2-year full-time postgraduate course; the minimum eligibility to enrol in the course is a bachelor’s degree in any field from a recognised university. The syllabus of the MBA BFSI programme is divided into 4 semesters spread over 2 years, with each semester focusing on different aspects of the banking and financial services industry. Some of the banking and finance subjects covered in the MBA BFSI syllabus are:

  • Financial Markets and Institutions
  • Banking Management
  • Principles of Insurance
  • Risk Management
  • Investment Analysis and Portfolio Management
  • Financial Planning and Wealth Management
  • Tax Planning and Estate Planning
  • Retirement Planning and Employee Benefits. 

Among the various subjects covered in the MBA BFSI syllabus, the important ones include macroeconomics, microeconomics, commercial banking, insurance, risk management, financial markets and institutions, investment analysis and portfolio management. In addition, students are also exposed to topics such as corporate governance, taxation and the regulatory environment. 

MBA in BFSI is a specialised course designed to meet the ever-growing demand for skilled professionals in the banking and financial services industry. Upon successfully completing the course, students can find employment in various positions such as bank managers, investment bankers, insurance analysts, etc. The MBA in BFSI course aims to provide students with a comprehensive understanding of the functioning of the banking and financial services sector. After successful completion of the course, students can find employment opportunities in banks, insurance companies, asset management firms and other financial institutions.

Topics one must master for a successful career in BFSI

If you’re looking for a successful career in the Banking, Financial Services and Insurance (BFSI) sector, there are a few key topics you’ll need to master. 

Firstly, it’s essential that you have a strong understanding of financial accounting and reporting. It will enable you to effectively manage the finances of your company or clients. 

Secondly, you’ll need to be well-versed in risk management, as this is a key area of responsibility for those working in BFSI. 

Finally, it’s also important to have excellent communication and relationship-building skills, as much of the work in this sector involves communicating with clients and others in the industry. If you can master these topics, you’ll be well on your way to a successful career in the BFSI sector.

Given below is the list of some of the important concepts you would need to master for a successful career in the BFSI sector.

Finance risk management

A career in BFSI (Banking, Financial Services and Insurance) can be very rewarding. It offers the opportunity to work with some of the biggest names in the industry and to be at the forefront of economic change. However, it is also a highly competitive field and those who want to succeed need to be able to master a number of different topics; one of the most important concepts among these is finance risk management. Risk management is all about identifying, assessing and mitigating risks. It is an essential skill for anyone working in the financial sector, as it can help to protect both banks and investors from losses. Those who want to make a successful career in BFSI need to be able to identify risks, assess their impact and develop strategies for mitigating them. With a strong understanding of risk management, individuals interested in the domain will be well-positioned to build a successful career in this exciting industry.

Managerial economics

A career in the BFSI sector is one of the most sought-after career options these days. The reason is the mammoth growth of this industry in India. To have a successful career in the BFSI sector, one must have sound knowledge of various subjects like Managerial Economics. Managerial Economics is a subject that deals with the application of economic concepts and principles to real-world business scenarios. It helps managers make better decisions by understanding how economic factors impact business operations. Some key topics covered in managerial economics are demand analysis, supply and demand curves, pricing strategies, market structures, game theory, etc. A strong understanding of these concepts is essential for individuals aspiring to build a career in the BFSI sector. So if you want to make a career in this industry, ensure you have a firm grip on Managerial Economics.

Banking and insurance marketing

Marketing in the banking and insurance sector has undergone a sea of change in the past decade. With the advent of technology, BFSI marketing strategies have emerged as a dynamic and complex concept. To succeed in banking and insurance marketing, one must be well-versed in topics such as digital marketing, customer experience, data analytics, and product management. One must understand certain topics to master the concept of banking and insurance marketing. 

  • Firstly, an understanding of the banking sector is necessary. It includes an overall understanding of the various types of banks, their functions, and the products they offer. 
  • Secondly, one must have strong knowledge of financial products and services. It includes an understanding of how different financial products work, as well as the risks and benefits associated with them. 
  • Thirdly, one must be able to effectively market banking and insurance products to potential customers. It involves creating compelling sales pitches and developing marketing strategies that target the right audience. 
  • Finally, one must be able to build and maintain relationships with clients. It includes providing excellent customer service and keeping up-to-date with the latest industry news. 

Finance modelling

A career in the BFSI (Banking, Financial Services, and Insurance) sector is one of the most lucrative and secure career options. The sector has been growing at a rapid pace and offers plenty of opportunities for those who are skilled in banking and finance services and have commercial and financial acumen. 

When it comes to a successful career in this sector, there are some specific vital topics that one must master. These include financial modelling, risk management, investment banking, and commercial banking. A thorough understanding of these topics is essential for anyone looking to build a successful career in the BFSI sector. Financial modelling is used to forecast the financial performance of a company or investment. It is the process of estimating a project’s or business’s financial performance by considering all relevant factors such as growth and risk assumptions and interpreting their impact on the assets. It helps gain a concise understanding of all the parameters involved in financial forecasting. A sound understanding of this concept is essential for anyone looking to make a successful career in BFSI.

Financial institutions and services

Financial institutions and services require one to master a number of topics. Firstly, it is essential to have a good understanding of the different types of financial institutions and the services they offer. It includes banks, insurance companies, investment firms, and so on. Secondly, it is important to be familiar with the various financial products and services available. These include savings accounts, loans, credit cards, and so on. Finally, it is necessary to have a sound understanding of the regulatory environment in which the BFSI- financial institutions and services operate. It includes an overall knowledge of monetary policy, banking regulation, and securities regulation. 

Merchant banking

Merchant banking is an important concept that one must master to have a career in the BFSI sector. It includes topics like capital markets, derivatives, implementing hedging strategies, etc. A strong understanding of these topics is essential to provide guidance to clients on the best way to grow and protect their assets. Merchant bankers also need to be well-versed in the regulatory environment surrounding the financial sector. They must keep up to date with changes in regulations and know how they will impact their clients’ businesses. By staying ahead of the curve, merchant bankers can provide valuable insights and advice that helps their clients navigate the ever-changing landscape of the financial world.

Besides a thorough knowledge of financial regulations and compliance, merchant bankers also need to have a keen understanding of risk management. As advisors to some of the wealthiest people and organisations in the world, they must be able to advise their clients on the best ways to mitigate risk and protect their assets. As the ultimate risk takers who often deal in very high-risk investments, merchant bankers must know how to manage risk for their clients and their businesses.

E-banking

The banking, financial services, and insurance (BFSI) sector is one of India’s most rapidly growing industries. In order to have a successful career in this field, you also need to master and understand the concept of e-banking. E-banking refers to the use of electronic channels, such as the Internet, to provide banking services. It includes a wide range of activities and functions, such as online banking, mobile banking and point-of-sale transactions. With the development of technology in this field, you need to have a good understanding of how all these various channels work and how they can be used to provide banking services efficiently. You also need to be able to effectively use them to meet the needs of your customers. 

Retail banking

There are a few topics which are very important for a career in Retail Banking in the BFSI sector. Firstly, it is important to have a good understanding of the various products which banks offer to retail customers. It can include savings accounts, current accounts, fixed deposit accounts, credit cards and personal loans. It is also essential to be familiar with the KYC (Know Your Customer) guidelines that banks follow to comply with anti-money laundering regulations. 

Additionally, one must also have a good understanding of financial concepts such as interest rates, inflation, etc. As retail banking is all about providing banking services to individuals and small businesses, it is also vital to have strong interpersonal skills and be able to build relationships with customers. Finally, it is also important to be updated on the latest developments in the banking sector so that you can provide the best possible service to your customers.

Get to know the complete course details of MBA BFSI programme

How does an MBA in BFSI land you managerial roles in the banking or finance sector?

The MBA programme with the BFSI specialisation is designed to prepare students for managerial roles in the banking and finance sector. The programme curriculum covers topics such as financial accounting, investment banking, risk management, and financial regulations. 

  • MBA BFSI students gain practical experience through internships and case studies. As a result of their studies, graduates are well-prepared for careers as bank managers, financial analysts, and other leading positions in the banking and finance industry. This specialisation provides students with the skills and knowledge they need to succeed in this rapidly-growing industry. With an MBA in BFSI, you can land a managerial role and other higher-level positions in various organisations like banks, financial institutions, and other businesses. 
  • An MBA in BFSI also provides graduates with the opportunity to develop a network of contacts within the financial community. These connections can be invaluable when seeking employment or advancing one’s career. In addition, an MBA can give graduates the confidence and ability to start their own businesses or ventures in the banking and finance sector. With an MBA, the sky’s the limit when it comes to career possibilities in banking and finance.
  • Individuals with an MBA in BFSI can land various job roles with the skills and experiences they gather from the programme. They can land a role as a trading analyst, investment banker, portfolio manager or analyst. These professionals typically report directly to a department or division manager within the organisation and play a key role in making crucial business decisions. In addition, they are often responsible for coming up with new ideas and strategies that can help them grow the business.
  • Another benefit of an MBA in BFSI is that it provides you with the critical skills and understanding of important concepts needed to succeed in this field. For example, banking and financial services professionals need strong analytical skills and the ability to think critically and analytically while facing any problems. They also need to be able to communicate well with clients and have strong leadership skills because they are often involved in making crucial business decisions.

Thus, an MBA in BFSI specialisation equips individuals with the relevant skills, understanding and experience to land managerial roles in the BFSI sector.

Increase your job opportunities with an MBA from Online Manipal

An MBA from Online Manipal is a great way to increase your job opportunities and advance your career. With an MBA, you’ll be able to pursue a variety of different job roles, from management to consulting and can expect to earn a very competitive salary. 

An MBA from Online Manipal can help increase your job opportunities in several ways. Firstly, it will give you the theoretical knowledge and practical skills needed to perform effectively in a management role. Secondly, it will allow you to network with other professionals and better understand the business world. With an MBA from Online Manipal, you can significantly increase your job opportunities and potential earnings.

Here are just a few of the job roles with the annual average salaries you could pursue with an MBA in BFSI specialisation: 

Job positionJob descriptionAverage annual salary
Investment BankerInvestment bankers work in a specific area of finance to help companies raise money by issuing and selling securities. They also advise companies on mergers, acquisitions and capital raising.INR 6 lakhs
Investment AssociateThey provide relevant banking and financial information to stockbrokers, traders, and managers. They get this information from the analysis of the global investment data.INR 13 lakhs
Accounts AssistantThey provide clerical support to the accounts. They partake in jobs like filing/compiling documents, handling emails and phone calls, etc. They also aid the managers in dealing with external agencies. INR 2.2 lakhs
Financial ManagerThey are in charge of investigating and recommending methods to increase profitability. They are responsible for analysing markets for expansion, mergers & acquisitions, and business opportunities. Their main objective is to review financial reports, monitor accounts, and prepare financial reports & forecasts.INR 13 lakhs
Business AnalystThey are responsible for developing technical solutions to financial problems. They help in the identification of goals, development of best data collection practices, and analysis of collected data to make data-driven decisions.INR 7 lakhs
Market AnalystThey are in charge of analysing data to determine consumer behaviour and trends to further improve the company’s marketing strategy.INR 8 lakhs

An MBA from Online Manipal will help you learn to be a better leader, improve your communication skills, and be more confident when interacting with others. One of the major benefits of an online MBA is that you can complete it from anywhere in the world, and it can help increase your job opportunities. You will also be able to save money on tuition fees as well as living expenses if you live outside of India.

An online MBA also allows you to customise your experience. You can choose which classes and assignments to take, how much time you want to spend on each one, and how much time you want to study for each class. It means that you can tailor your learning experience according to your needs and interests.

Online MBA in BFSI from Online Manipal is an excellent choice

Today’s business world is more competitive than ever, and the competition will only keep increasing with time, and an MBA in BFSI from Online Manipal can give you the edge you need to succeed. Online Manipal is the online platform offered by Manipal University Jaipur that allows students to take up and complete courses online. Manipal University Jaipur is a NAAC A+ accredited institution that offers applicants UGC recognised MBA programmes in various specialisations. 

An MBA in BFSI degree programme provides comprehensive training in all aspects of the financial services industry, from banking and investment to insurance and risk management. 

  • The curriculum is designed to give you a solid foundation in the core subjects while also allowing you to choose electives that match your interests and career goals. Plus, with the online format, you can complete your degree according to your time and schedule without having to sacrifice work or family time. 
  • Manipal University Jaipur also provides placement assistance to its graduates. The placement cell works with leading organisations in the retail BFSI sector to identify suitable placement opportunities for students. MBA graduates from Manipal University Jaipur have been placed with renowned companies such as Amazon, Flipkart, HSBC, ICICI Bank, Kotak Mahindra Bank, and more.
  • The ever-changing landscape of the business world has made it essential for professionals to continuously upskill themselves. The BFSI sector, in particular, is subject to constant flux, making it necessary for employees to have a deep understanding of the latest trends and developments. Recognising this need, Manipal University Jaipur has introduced and developed an online MBA BFSI programme. 
  • This course curriculum covers a wide range of topics, including retail banking, insurance, and investment management. It also provides students with a solid foundation in financial accounting and risk management. And because it is offered entirely online, it is flexible enough for the schedules of working professionals. 

Moreover, the course comes with comprehensive placement assistance and free access to Coursera courses, so students can be sure of acquiring in-depth subject knowledge and practical expertise. The online MBA BFSI elective from Online Manipal is the perfect way for professionals to stay ahead of the curve, with its cutting-edge curriculum and convenient delivery model.

Conclusion

The concepts and subjects taught during an MBA in BFSI programme are essential for individuals looking to pursue a career in this field. Risk management is one of the most critical aspects of the BFSI sector. Students who understand this concept will be better equipped to handle the financial risks associated with this industry. In addition, students should also have a strong understanding of financial regulations and compliance issues. Those who are able to navigate these complex issues will be in high demand by employers in the BFSI sector. Finally, students should also be familiar with the latest technology and data analysis tools, as these will be essential in this rapidly changing industry. Individuals who can master these concepts will be well-positioned and have a successful career in the BFSI sector.

The MBA programme with the BFSI specialisation provides students with a comprehensive understanding of the financial services industry. In addition to traditional business concepts, students learn about the unique aspects of the financial services sector, such as risk management and compliance. The programme also focuses on innovation and technology, two areas that are critical to the future of the financial services industry. As a result, the MBA programme with the BFSI specialisation provides students with the skills and knowledge they need to succeed in today’s dynamic and ever-changing banking and finance industry.

How to become an Operations Manager?

Operations management is a field that deals with the efficient and effective production of goods and services. It is concerned with converting materials and labour into goods and services as efficiently as possible to maximise the profit of an organisation. So who is an Operations Manager? An Operations Manager is responsible for ensuring that all aspects of the production run smoothly and efficiently. Operations managers typically work in manufacturing or service industries but can be employed in any sector that relies on the production of goods or services. 

The scope of an Operations Manager’s job varies depending on the size and type of organisation but usually includes planning and organising production schedules, overseeing the day-to-day running of operations, and maintaining quality in both manufacturing and service industries. In manufacturing, Operations Managers are responsible for the efficient flow of materials through the production process. In service industries, operations managers are responsible for effectively managing resources such as employees, equipment, and technology. 

There are many job opportunities available for Operations Managers. They can work in a variety of industries, including manufacturing, healthcare, retail, and logistics. Operations Managers typically have a bachelor’s degree in business administration or a related field, and some companies may require a master’s degree for the position. 

Operations Managers generally earn high salaries. Salaries for operations managers vary depending on the industry and level of experience. The average salary of an Operations Manager in India is ₹ 7.5 LPA and ranges from ₹ 3.0 Lakhs to ₹ 18.5 Lakhs based on skills and experience. 

Becoming an Operations Manager is a great way to start a career in business administration. Operations Managers play a vital role in ensuring that businesses run smoothly and efficiently. They are well-compensated for their work and often have many job opportunities. If you are interested in becoming an Operations Manager, be sure to research the educational requirements and industry expectations for this position.

Requirements to become an Operations Manager

Individuals who want to pursue their career in operations management might often wonder, “How to become an Operations Manager?” The answer is becoming an Operations Manager generally requires a combination of education and experience. Most Operations Managers have at least a Bachelor’s degree in business administration or a related field.

In India, the eligibility requirements for becoming an operations manager varies depending on the organisation. However, there are some general qualifications that are usually required. For example, most operations managers have at least a bachelor’s degree in business or a related field. 

In addition, many Operations Managers have several years of experience working in an operational role within an organisation. However, some employers may prefer candidates with a Master’s degree in business administration (MBA) or a Master of Science (MSc) in management. In addition to education, many operations managers have several years of experience working in various operations and management roles. Strong communication and problem-solving skills are essential for success in this role.

Some Operations Managers may also be certified through professional organisations such as the American Production and Inventory Control Society (APICS) or the International Organisation for Standardisation (ISO). These credentials can demonstrate to potential employers that a candidate has the necessary skills and knowledge to be successful in an operations manager role.

Operations managers must be able to effectively coordinate with their team in order to achieve organisational goals. They must also be able to quickly adapt to changes and solve problems as they arise. As a result, Operations Managers must have both analytical and interpersonal skills. Those interested in becoming Operations Managers should consider pursuing a degree and/or gaining relevant experience to improve their chances of success.

Roles and responsibilities of an Operations Manager

Now let’s answer the next question, “What are the roles and responsibilities of an Operations Manager?” An Operations Manager is responsible for the day-to-day running of a company or organisation. They ensure that all departments are working efficiently and that resources are used in the most effective way possible. They also develop plans to improve operational effectiveness and solve problems within the organisation.

Here are some key points that summarise the roles and responsibilities of an Operations Manager

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  • Operations Managers are responsible for the day-to-day running of a company or organisation.
  • They ensure that all departments are working efficiently and that resources are being used in the most effective way possible.
  • They also develop plans to improve operational effectiveness and solve problems that arise within the organisation.
  • As Operations Managers typically have a broad range of responsibilities, they must be able to prioritise their workload, delegate tasks effectively, and have strong decision-making skills.
  • They must also be able to work well under pressure and meet deadlines.
  • Additionally, operations managers need to be excellent communicators and have good interpersonal skills in order to liaise with other departments and build strong working relationships.
  • They should also be proactive in their approach and be able to think creatively in order to come up with new solutions to problems.
  • The role of an Operations Manager is to oversee the implementation of key processes within an organisation. The job may also require you to monitor personnel, oversee quality assurance, and create workflows across an organisation.
  • Operations managers, also known as chief operating officers, are responsible for improving the productivity and efficiency of employees and processes within their organisations. Their work may also involve mapping strategies and enhancing performance, as well as ensuring legal compliance.
  • The role of an Operations Manager can be demanding. Although the job description will differ with industry and company, the primary responsibilities are the same: to oversee the business operations.
  • As the leader of the organisation, an Operations Manager is responsible for managing all aspects of an organisation’s business. It can include overseeing a wide range of departments, hiring employees, implementing quality assurance programmes, and reviewing current business practices.
  • The role of an Operations Manager calls for constant monitoring of every process and procedure within the organisation. An Operations Manager should be able to communicate effectively and multitask to stay on top of everything. Ultimately, it is their job to monitor everything.
  • A successful Operations Manager will possess a mix of soft skills and hard skills. They may need mechanical aptitude or even expertise with manufacturing equipment. In addition to the necessary knowledge, they must be able to effectively work with people and develop relationships with them.
  • Good interpersonal skills are also necessary, as an Operations Manager must be able to effectively motivate employees. As such, they need to have excellent communication skills and be good listeners and communicators.
  • Aside from being responsible for daily operations, an operations manager also needs to be responsible for the coordination of resources, activities, and time. Coordination involves carrying out specific activities at the same time, switching between them, and dealing with crises and interruptions.
  • Managing operations effectively can help an organisation achieve its goals, so a successful Operations Manager must be familiar with its various functions. 
  • As the role of Operations Manager involves overseeing manufacturing processes, they must also be knowledgeable about how production systems are set up.
  • Moreover, they must be able to devise schedules, source third-party service providers, and manage employees responsible for certain projects. Quality control refers to ensuring that products are of high quality and meet customer needs.
  • An Operations Manager must also be familiar with recent technological innovations and utilise them to enhance internal processes.
  • An Operations Manager is responsible for the entire supply chain process. During this time, they will be evaluating the number of products that can be produced in a period.
  • They must also evaluate human resources and assess market demands. On the other hand, inventory management involves implementing a streamlined manufacturing system. It is also referred to as inventory control or supply chain management. 

What impact does an efficient Operations Manager have on a company?

An Operations Manager is an individual who is tasked with managing the processes and resources that are needed to support a company’s day-to-day operations. They must understand how the company’s processes work, and they must be able to communicate effectively with employees so that everyone knows what needs to be done and when.

  • An Operations Manager’s main responsibility is to ensure that all of the processes that support the company run smoothly, but there are also other important tasks that they need to perform. For example, an Operations Manager can help train new employees so that they become proficient in the company’s processes as soon as possible.
  • Similarly, an Operations Manager can also help improve the workflow processes and ensure that everyone knows what needs to be done and when. By doing these things, an Operations Manager can help ensure that every employee feels valued and clearly understands what needs to be done.
  • An effective Operations Manager optimises resources and processes, reducing costs per unit and increasing the bottom line. These managers must be effective communicators and motivate employees to increase their productivity, and they must also understand how to improve processes and measure their results.
  • Here are a few tips for effective Operations Managers. These managers have the power to make a significant impact on their companies. They can reduce production times, increase goods produced, and more.
  • First, you need to understand why your employees aren’t executing well. For example, when you are working to improve production time, an operations leader might directly communicate with employees about a slowdown in production. An effective Operations Manager will explain why production isn’t meeting expectations and help develop alternate solutions. When you have an efficient operations manager, everyone will be more productive and happier.
  • Next, the Operations Manager must understand how to address issues of concern among their team. It is particularly important to know why the team is underperforming and what needs to be done to get back on track.
  • An Operations Manager must be able to identify the problem and address it quickly and effectively, without provoking fear of losing one’s job. Ultimately, a strong operations leader will encourage the top performers while finding ways to bring underperforming team members up to standards.

How does an MBA in Operations Management be beneficial to you?

An MBA in Operations Management is a great way to start your career in the field of operations. It gives you a broad knowledge of all the different aspects involved in operations and equips you with the skills necessary to excel in any role. It also prepares you for a wide range of career opportunities in operations, such as roles at start-ups, multinationals, and even consulting firms. 

  • If you want to advance your career and are interested in managing businesses, an MBA in Operations Management could be a perfect choice. With this degree, you will learn how to manage a company’s operations and ensure that the entire business is running as smoothly as possible. In addition to this, you will gain a better understanding of different business sectors and be able to apply this knowledge to the needs of your company.
  • It’s important to remember that an MBA in operations management isn’t just about learning the technical aspects of running an operation. It’s also about learning how to lead and manage people. This can be invaluable when you’re looking for a position as an Operations Manager.
  • An MBA in Operations Management is also a great way to help improve your CV, especially if you want to apply for positions within large organisations. Having a solid background in operations will give you an advantage over other candidates who may lack this crucial knowledge.
  • An MBA in Operations will expose you to the different sectors of the business, enabling you to gain a broad understanding of the process of manufacturing and dispatching an end product. You will also gain an understanding of the competition in a variety of industries, giving you the flexibility to switch between job roles in the future. This degree is highly valuable in the current job market. You can even get a job in the field of operations management if you want.
  • In addition to expanding your network, an MBA in operations management can also help you land a job in the field of your choice. Today, the skills needed to run a business are critical, and you can learn how to manage resources, manage teams, and deliver products to global customers. 
  • An MBA in Operations Management provides job flexibility between sectors. You will learn how to manage the entire production process, from sourcing raw materials to the final delivery of the product. There are many opportunities in the field of operations management, and an MBA can help you find them. 
  • An MBA degree will give you the skills to lead an organisation. In business, the goal is to maximise profits by doing things better. This requires a diverse background and will work with a variety of people. For example, if you are working in the field of sports shoes, you will have to work closely with a variety of people, including seamstresses making sneakers and materials scientists developing new fabrics for sneaker production.
  • As an MBA student, you can expect to get a job in the fast-growing industry of operations management. This career field is one of the highest-paying in the country and is projected to grow rapidly. So, an MBA in operations management could help you land a good job with a better salary.

Learn about the MBA in Operations Management course details

Online Manipal is your ideal choice for any online MBA degree

Manipal University Jaipur is a NAAC A+ accredited institution that offers applicants UGC recognised MBA programmes. Online Manipal is the online platform offered by Manipal University Jaipur that allows students to enrol in and complete courses online from the comfort of their homes. Online Manipal provides its students with a world-class online learning environment with the most flexible options for their degree programmes.

Online Manipal’s online learning environment is an ideal choice for any student planning to pursue an online MBA degree. The flexibility of online classes allows students to study at their own pace, while the high-quality teaching and industry experience ensures that you learn what you need to succeed in your MBA programme and build a stable career for yourself. Students can complete the course from anywhere in the world according to their time and availability.

Online Manipal’s MBA programme is designed by professionals who understand the needs of today’s business leaders and firms. Students are offered a broad range of course options that allow them to focus on what matters most to them. A variety of specialisations are also offered so one can choose to do an MBA course in the field of their interest. Course fee details for MBA in Operations Management offered by Online Manipal is given below:

Total course fee- INR 1,50,000/- Inclusive of all taxes

Fee per semester- INR 37,500/- Inclusive of all taxes

You can also take advantage of the unique scholarship programmes and no-cost EMIt payment options. Online Manipal also provides placement facilities with a broad range of placement assistance activities, such as resume writing workshops and interview tips. Online Manipal can help you reach your goals and advance your career. So if you’re ready to take your career to the next level and make a name for yourself in today’s competitive business world, consider one of the online MBA degree programmes today!

Conclusion

The Operations Manager role is responsible for all aspects of running an organisation. As the Operations Manager of a firm, you need to make sure that everything runs smoothly at all times while being able to adapt your approach to keeping up with changes. You will need to have a broad knowledge of all areas that make up an organisation and work well with other departments such as marketing, human resources, and finance. At the same time, you will need to be able to work on your own and in a team and speak to people from different backgrounds. 

A skilled Operations Manager can make all the difference to a business. While an Operations Manager is primarily responsible for the operations of the business, it’s important to remember that it’s not just about the numbers. It is essential to consider how the business is positioned for the future and where it needs to be heading. Being able to communicate this effectively to a range of people is a significant part of the job role and is crucial for building a strong team.

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    Bachelor of Business Administration (BBA)
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