Role of Supply Chain Management in healthcare sector For most businesses, ensuring that products reach customers is a significant goal, but in healthcare, it’s vital because lives hinge on receiving supplies and medications promptly. Providing quality patient care swiftly is essential, as underscored by the recent COVID-19 pandemic. Effective connections and communications among suppliers, manufacturers, and distributors are necessary to streamline the flow of goods, services, and information. This enables hospitals and other healthcare facilities to more effectively address patient requirements and enhance their financial outcomes. Why supply chain management in healthcare? Healthcare supply chain management is a collection of processes, teams, and the transportation of medicines, medical tools, and other products required by healthcare professionals to execute their jobs. Another goal of supply chain management in the healthcare industry is to identify departmental weaknesses and provide prevention solutions. It tries to identify weak areas to attain desired health outcomes and to improve global health investments. When companies use digital tools and technology to manage healthcare supply chains, they use actionable insights from multi-source data to alter and enhance supply chain structures and operations continuously. Benefits of supply chain management in healthcare Following are some of the benefits of supply chain management in healthcare. Reduce operational costs Medical producers rely on supply chain managers to design networks that match customer objectives at the lowest possible overall cost. Efficient logistics enable medical enterprises to compete more effectively in the marketplace. Healthcare organizations are occasionally overcharged due to pricing fluctuations and errors made when deliveries are delayed, adding to unanticipated shortages and insufficient inventory controls. Better processes Some of the biggest problems in healthcare logistics are keeping devices working and clean, getting rid of waste, storing and keeping track of inventory, and shipping. When faced with issues such as a lack of suitable storage space, rising labor prices, and typical tedious techniques, it is the greatest alternative solution with solid logistics and supply chain management. Help in automation Supply chain software simplifies and automates typical manual procedures carried out inside healthcare organizations with the simple goal of enhancing the supply chain process. One of the numerous benefits of software automation is its capacity to streamline inventory, decrease waste, enable quick, data-driven choices, and save labor, supply, and operational costs. For these reasons, enlisting the assistance of supply chain software development organizations is becoming increasingly important. Gives a competitive advantage Digitizing the supply chain makes it possible for healthcare providers to get the exact product to the patient at the right time and at a low cost. Healthcare providers will be better placed to take advantage of technological developments in the data flow, analytics, provider-patient interaction, asset monitoring, and regulatory requirements by establishing a digital supply chain, which also implies that the future of healthcare is digital. Improve the three C’s Supply chain management focuses on enhancing the three Cs: communication, collaboration, and coordination between vendors, suppliers, transportation firms, and shipping organizations. Supply chain management employs a centralized distribution approach, ensuring reliability for end users and providing correct output results. For more information, see our blog on the importance of vendor management. Increased transparency Logistics is an important component of supply chain management, with duties such as developing precise systems to plan and coordinate the complex movement of goods by delivering timely, safe, and dependable shipments. Day-to-day logistics services vary depending on the business but often include order processing, warehousing, and, last but not least, shipping. In addition to these items, logisticians provide data summaries to supply chain partners to improve the visibility of commodities as they transit from point A to point B. Logistics partners should improve transparency by coordinating live tracking updates and establishing open communication channels to increase customer service. Learn more about the importance of logistics in the retail industry. Aids in demand forecasting They may use healthcare supply chain analytics to estimate demand correctly, improve stock planning and management, and respond more quickly to changing market conditions by combining supply chain and clinical data. Digital supply chain management technologies can assist raise productivity and reducing time to market by fostering improved communication and cooperation throughout the healthcare supply chain. They help to develop a healthcare value chain that can respond directly to and recover from the difficulties of future pandemics and other public health catastrophes by enhancing confidence and openness across the supply network. Challenges in healthcare supply chain management The intricacy of the healthcare supply chain is compounded by factors like product diversity, fluctuating demand patterns, strict regulatory mandates, and the imperative for precise inventory control. Access to accurate and timely data is crucial for effective decision-making and optimizing inventory. Challenges within the healthcare supply chain often revolve around issues such as managing inventory, predicting demand, controlling costs, and ensuring product quality and safety standards. Shortages, stockouts, or disruptions in the supply chain can significantly impact patient care, leading to treatment delays or limitations. Supply Chain Management SCM in healthcare – best practices The best practices listed below, with examples, can help anyone prevent mistakes and make the right choices: Inventory management You must ensure that your materials department orders the correct volume of supplies to match the volume used by your personnel. There shouldn’t be surplus material ordered based on someone’s gut instinct, and all of this occurs without risking the safety of your patients. Centralize and categorize storage Streamline supply management by implementing an automated inventory system to enhance efficiency and precision. Allocate specific storage spaces for medical equipment and supplies, ensuring convenient access for staff. Classify inventory according to product type, expiration dates, and usage frequency to streamline retrieval and minimize the likelihood of expired or misplaced items. Enforce a first-in, first-out (FIFO) and last-in, first-out (LIFO) method to maintain proper rotation and maximize inventory usage. The advancement of technology Organizations worldwide have been able to adjust their services with cutting-edge technology, solutions, and resources. Globally, supply chain management has grown in popularity as firms integrate their essential business activities from beginning to end. For example, E-procurement and sophisticated supply chain planning systems have been released as advanced software and solutions. These software solutions have many applications in the healthcare supply chain management system. They can be utilized at numerous stages of the supply chain management process, including procurement, manufacturing, transportation, and storage. Adopting cloud-based solutions Cloud-based systems have several advantages, including reducing capital and running costs. The system requires no hardware or IT infrastructure, allowing businesses to optimize supply chain operations while avoiding capital expenses. Furthermore, these solutions aid in consolidating various systems, such as warehouse management systems and transportation cost management, which are crucial for supply chain operations. Cloud technology assists healthcare businesses in coordinating and consolidating information with particular solutions to avoid miscommunications and lost savings. Cloud computing also offers benefits to Small and Medium-sized Enterprises (SMEs) and on-premise IT systems, such as cost-effectiveness and the ability to minimize the total cost of ownership through pay-per-use. As a result of the benefits associated with this technology, healthcare systems worldwide have begun to incorporate cloud-based solutions in their supply chain operations. It’s critical to understand what’s going on in your materials department. Any adjustments that need to be made should be executed as soon as possible so that savings can be realized. The materials portion of the supply chain can be leaner. Read more: Online supply chain management courses to enhance your career Supply chain job roles in healthcare The healthcare industry is booming and there are a plethora of job opportunities to explore. Here is the list of the job roles in supply chain management in the healthcare industry: JobsSalarySupply Chain ManagerINR 17 LPASupply Chain ExecutiveINR 4.5 LPASupply Chain AnalystINR 6.5 LPAAssociate Supply Chain ManagerINR 13.3 LPA Read more: High paying jobs roles in supply chain management Conclusion Supply chain management in the healthcare industry has shown to be a game changer, assisting healthcare providers in enhancing the patient experience, reducing manual errors in everyday business processes, optimizing inventory, and automating departmental activities. As you are aware, supply chain management is a key function in the healthcare industry, and if you want to follow a profession in this field, Manipal Academy of Higher Education (MAHE) is the best option. Through Online Manipal, MAHE provides the best supply chain management course and an MBA in healthcare management, that allows you to pursue your interest in supply chain management. This course gives a foundational understanding of supply chain management, the underlying pressures confronting managers today, and the solutions available to assist in dealing with the day-to-day issues of sustaining hospital and medical practice operations. So, what are you holding out for? Apply for your favorite program on the Online Manipal website to learn hospital planning, a larger vision of healthcare management, and finally, to strengthen your communication abilities.
AI Engineer: Scope, job description, skills, salary, and more In the fast-paced world of technology, AI engineering is a young and promising field with great prospects and importance. AI engineers are one of the key drivers in creating intelligent systems that utilize natural language processing and computer vision to enhance human capabilities and reinvent operations. To succeed in this domain, you must have a diverse set of skills, which entails mastery of programming languages such as Python, competence in machine learning frameworks, and a firm understanding of mathematics and statistics. Good problem-solving skills and the ability to handle a large amount of data are a must as well. The demand for AI engineers is soaring; they get paid from 100,000 to 150,000 US dollars annually, with their experience and location playing a role. AI will keep transforming businesses as people learn about this discipline, with new doors open to exciting careers and possibilities to design the future of technology. Also read: Interesting predictions on data science trends for 2024 – Online Manipal Understanding the Scope of AI Engineering Engineering AI implies developing, creating, and using artificial intelligence systems and solutions to automate tasks and solve challenges in different areas. In healthcare, AI engineering is employed for medical image analysis, disease diagnosis, drug discovery, and personalized treatment suggestions, which contribute to better care delivery and patient outcomes. In finance, AI enables algorithmic trading, fraud detection, customer service chatbots, and risk management systems. In the automotive industry, AI engineering is applied in self-driving cars, predictive maintenance, and vehicle safety, thus paving the way for smart transportation of the new age. The significance of AI engineering is in its ability to spark innovation across industries through data analytics, automation, and the application of intelligent algorithms. AI makes it possible for organizations to capitalize on its power, increase efficiency, reduce expenses, and achieve a competitive advantage in a quickly changing market environment. Job Description of an AI Engineer Developing AI Models: AI engineers design and develop machine learning and deep learning models tailored to specific use cases, such as natural language processing, computer vision, or predictive analytics. Implementing Algorithms: AI engineers translate algorithms and models into production-ready software solutions. This involves writing code, leveraging frameworks like TensorFlow or PyTorch, and integrating AI components into existing systems or applications. Data Preparation and Analysis: AI engineers work closely with data scientists to preprocess and analyze data, ensuring its quality, relevance, and suitability for training AI models. They may also be involved in feature engineering, dimensionality reduction, and data augmentation tasks. Collaboration with Cross-Functional Teams: AI engineers collaborate with cross-functional teams comprising data scientists, software engineers, domain experts, and stakeholders. They participate in brainstorming sessions, data gathering, and solution design discussions to ensure alignment with business objectives and technical feasibility. Also read: Unleashing the potential of predictive analytics in data science – Online Manipal Skills Required for AI Engineers Technical SkillsSoft SkillsProficiency in programming languages (Python, R, Java)Problem-solving abilitiesKnowledge of machine learning frameworks (TensorFlow, PyTorch, sci-kit-learn)Effective communication and collaboration skillsExpertise in data preprocessing, feature engineering, and model evaluationAdaptability and continuous learning mindset Educational Background and Training Computer Science or Related Degree: Many AI engineers hold a bachelor’s or master’s degree in computer science, artificial intelligence, machine learning, or a related field. Mathematics and Statistics: A solid understanding of mathematics, including calculus, linear algebra, probability, and statistics, is essential for AI engineering. Certifications and Courses: Taking specialized courses and obtaining certifications in artificial intelligence, machine learning, and deep learning can enhance an individual’s skills and knowledge in the field. Online platforms like Coursera, Udacity, and edX offer a wide range of AI-related courses and certification programs. Also read: Top 10 things recruiters look for in Data Science aspirants – Online Manipal Salary Trends for AI Engineers Factors influencing AI engineer salaries: Experience: Experienced AI engineers with several years of hands-on experience typically command higher salaries than entry-level professionals. Skills and Expertise: Proficiency in in-demand programming languages, machine learning frameworks, and specialized AI techniques can positively impact salary levels. Education: Higher education degrees, such as master’s or doctoral degrees in AI-related fields, may lead to higher salary offers. In the United States, the average annual salary for an AI engineer exceeds 110,000 US dollars. Across the border in Canada, AI engineers can expect an average annual salary of over 85,000 Canadian dollars. Similarly, in Europe, particularly in the UK, the median annual salary for AI engineers is impressively over 60,000 pounds. City (India)Average Salary (Annual)BangaloreINR 12,00,000HyderabadINR 10,00,000 MumbaiINR 15,00,000 Source Entry-level (0-2 years of experience): INR 4-8 lakhs per annum Mid-level (2-5 years of experience): INR 8-15 lakhs per annum Experienced (5-10 years of experience): INR 15-30 lakhs per annum Senior-level (10+ years of experience): INR 30+ lakhs per annum Career Growth and Opportunities in AI Engineering AI ResearcherMachine Learning EngineerComputer Vision SpecialistDeep Learning Engineer AI engineers can choose to specialize in various subfields, including computer vision, natural language processing, robotics, reinforcement learning, and more. Emerging trends shaping the future of AI engineering: Explainable AI: There’s a growing emphasis on developing AI systems that are transparent and interpretable, allowing users to understand the reasoning behind AI decisions. Ethical AI: With increased concerns about bias, fairness, and accountability in AI systems, there’s a growing demand for AI engineers skilled in designing and implementing ethically responsible AI solutions. Also read: What is the difference between PGCP data science and MSc data science? – Online Manipal Challenges and Ethical Considerations Ethical dilemmas abound in AI development and deployment. AI algorithms may inadvertently perpetuate biases in training data, leading to unfair decisions or discrimination. Moreover, AI systems’ opacity raises concerns about accountability and transparency. AI engineers can mitigate bias by carefully selecting and preprocessing training data, employing fairness-aware algorithms, and conducting thorough testing and validation. Transparency can be enhanced through model interpretability techniques, allowing stakeholders to understand how AI decisions are made. How can MAHE help you realize your AI dream? Manipal Academy of Higher Education (MAHE) offers an MSc Data Science program tailored to aspiring AI engineers. The MSc Data Science program at MAHE provides a comprehensive curriculum covering fundamental concepts in data science, machine learning, and AI. Students gain proficiency in programming languages, statistical analysis, and advanced machine-learning techniques. The program emphasizes ethical considerations, equipping students with the knowledge and skills to navigate the ethical challenges inherent in AI development and deployment. Conclusion In conclusion, the scope for AI engineering presents immense opportunities for innovation and societal impact, but it also poses significant ethical challenges. AI engineers play a pivotal role in addressing these challenges by promoting fairness, transparency, and accountability in AI systems. With the support of institutions like MAHE and programs like the MSc Data Science, aspiring AI engineers can acquire the skills and knowledge needed to realize their AI dreams.
Top 10 data science companies in India In today’s digital age, data science has emerged as the most sought-after career choice for individuals from both technical and non-technical backgrounds. Some of the high paying data science job roles include Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. Leading companies like Google, Facebook, and Amazon actively seek data science professionals to harness insights, drive innovation, and make informed decisions in an increasingly data-driven world. According to Ambition Box, the average salary of a data scientist in India is INR 14.5 LPA. Data Scientists working in top companies will be able to earn more than this average and also have a bright career path. Also read: How to switch to data science career Top Data Science companies in India Have you just completed your data science course? Are you unsure of the best company to start with? Undoubtedly, the data science industry is expanding, which has boosted the need for data scientists. Therefore, it is the ideal time for you to begin or make a switch to data science. India’s top 10 data science companies can help you launch your career. Accenture Accenture has established itself by specializing in providing data-driven solutions and receiving strong support from machine learning and artificial intelligence. The analytics division of Accenture Analytics is a great workplace for a data analyst because Accenture’s predictive analytics technology powers it. Working at Accenture will allow you to join its global network of over data scientists and analysts and work in Accenture Innovation Centers and Accenture Labs. Fractal Analytics Fractal Analytics, which was first conceptualized in 2000, has become one of the leading analytics service providers in the nation. This one is unstoppable with a global presence and a list of Fortune 500 firms in the technology, insurance, and retail sectors. Fractal encourages its data scientists to create unique analytics strategies for the needs of various clients, fostering innovation among all team members. Wipro WIPRO stands as a top-tier technology services and consulting firm, dedicated to crafting inventive solutions tailored to meet the intricate digital transformation requirements of our clients. Drawing upon a comprehensive range of expertise in consulting, design, engineering, operations, and emerging technologies, the organization empowers clients to achieve their ambitious goals and cultivate resilient, forward-thinking enterprises. Wipro is among the top data science companies in India, where as a data scientist, you can grow and build a valuable career. LatentView Analytics Latent View has valued customers like Paypal, IBM, Microsoft, and Cisco. It pushes data scientists to have a 360-degree view of every project to help clients make the best investment decisions, forecast the newest revenue sources, and anticipate product trends. LatentView is undoubtedly among the best companies for data scientists in India. Tiger Analytics Tiger Analytics is one of the top data analytics companies in the world. It was established in 2011 and is based in the USA. They provide various organizations with a variety of data analysis options. Their analytics services are useful for the customer, operations, risk, strategy, and market analytics. They work with Cisco, Intel, PayPal, American Express, and more companies. Although the business is new, it already has a lot of significant clients. Genpact Genpact employs a vast number of data scientists, and they all operate under a centralized hub model with a main emphasis on the client experience. By including them in programs like the Machine Learning Incubator and ML Upgrade, this company hopes to help undervalued data scientists grow into skilled data scientists. If you are a data scientist, this is one of the top companies to work for. TheMathCompany TheMathCompany is a multinational data analytics and engineering company that collaborates with Fortune500 companies and other organizations of similar stature to improve their analytics capabilities utilizing the cutting-edge, unique platform. Mu Sigma The US city of Chicago is home to Mu Sigma, which claims itself as the world’s leading provider of decision science and analytics solutions. It has offices across the world, with Bangalore serving as the primary delivery hub. As a data scientist at Mu Sigma, your duties include analyzing data, improving and simplifying it, and assessing the outcomes. If that sounds intriguing, Mu Sigma is undoubtedly searching for you to join its analytics team. IBM IBM has provided clients worldwide with consulting and global technology solutions since 1911. Does your ideal work involve gathering, integrating, and managing a sizable amount of data used to provide operational insights and develop useful solutions for the business? Then stop your search right here; you need to go to IBM India to join as a data scientist. Oracle Oracle is one of the most well-known IT companies nowadays. It is also among the world’s oldest companies. Founded in 1977, Oracle offers numerous software and IT services. They also have their own data analytics program, which has a history of helping the company. These utilize machine learning and provide data analytics assistance to several firms. Oracle will rank among the largest data analytics companies in the world in the years to come. Check out: How to prepare for a data science interview Pursue the best online data science course from MAHE Manipal Academy of Higher Education, a renowned educational institute of the Manipal Group, is now offering degrees and certifications courses online mode. These include an MBA in Data Science and an MSc in Data Science. Pursuing these data science courses from Manipal Academy of Higher Education (MAHE) will help you gain sound conceptual knowledge as well as the skills necessary to become a future-ready data science professional. These programs are delivered in complete online mode to accommodate the personal and professional schedules and commitments of working professionals. The curriculum of these programs is designed by expert academicians that aim to prepare you for analytical and leadership roles in diverse sectors. Develop your skills in big data analytics, predictive modeling, statistics, and machine learning applications using real-world data. Learn effective teamwork techniques, tactical and strategic recommendation development, process, work, and team building. You can also learn and acquire practical knowledge of essential tools and packages like Hadoop, Matplotlib, NumPy, Pandas, and others. Online Manipal assists the students with placement opportunities in reputed data science companies. You can succeed professionally with MAHE’s data science courses and land well-paying job positions at reputable data science companies. Also read: Data scientist roadmap explained
Data science career after engineering The development of technology, emerging along with data, has changed industries, which has supported data science as a trend of innovations. A data science job search will be particularly stimulating for engineering graduates, who often have good problem-solving abilities and advanced analytical thinking skills. Data science presents engineers with a unique chance to use the advanced math and computation skills that they developed while in academic pursuits and gain deep understandings from huge data pools. The use of data science methodologies in the optimization of manufacturing processes, design of algorithms, and creation of the latest technologies has widened its scope of application in engineering. This blog highlights the opportunities for data science after engineering and the required skills for those who seek engineering data analysis careers. Must read: Is Data Science a good career option for you? Understanding data science Data science is a multidisciplinary field that utilizes aspects of statistics, mathematics, computer science, and domain knowledge to discover insights and knowledge from structured and unstructured data. At its fundamental essence, data science revolves around processing, analyzing, and interpreting massive data to guide decision-making, solve complicated problems, and discover vital trends and patterns. Some core concepts and techniques utilized in data science include: Descriptive and Inferential Statistics: Techniques for data summary and interpretation, using skills such as mean, variance, hypothesis testing, and regression analysis. Machine Learning: Algorithms and models that enable computers to learn from data and make decisions or predictions by themselves without getting explicitly programmed, such as decision trees, support vector machines, and neural networks. Data Visualization: Developing visual displays of information that foster inquiry, examination, and the demonstration of insights, employing techniques such as charts, graphs, and data visualization. Industry demand for data science skills in engineering: Business and Finance: Analysis for predicting customers’ preferences, fraud, risks, and market forecasting for stocks. Healthcare: EHR, medical imaging, and genetic analysis for medical diagnosis, clinical decisions, and drug research. Marketing and Advertising: Targeted advertising campaigns, market segmentation, analysis of sentiments in social networks, and personalization of product recommendations. Why consider a Data Science Career after Engineering? Consider the skill transition from engineering to data science. Engineers are highly analytical thinkers, problem-solvers, and mathematical whizzes, and, therefore, they perfectly fit in a data science environment. The ability to use the systematic problem-solving approach to build efficient solutions is considered well-transferable to data pre-processing, algorithm development, and model evaluation. Apart from that, as the demand for data-driven insights grows across most industries, so does the need for information specialists who are in short supply. Moreover, a data science career allows engineers to be involved in interdisciplinary work and bring innovation at the intersection of technology, data, and domain knowledge. By combining their engineering skills and data science practices, professionals can handle complex problems in different areas such as the health sector, finance, transportation, and other fields. For you: Data science course duration: Become data scientist quickly! Steps to Transition into a Data Science Career Assessing Current Skills and Knowledge: Begin by assessing your engineering skills and applying them to data science. These skills would include proficiency in programming languages (e.g., Python, R, SQL), statistical analysis, data manipulation, and problem-solving abilities. Filling Knowledge Gaps: Identify the gaps in your skill set and knowledge required for data science roles. Utilize online resources such as MOOCs (Massive Open Online Courses), tutorials, textbooks, and boot camps to learn new concepts and techniques. Building a Portfolio: Choose diverse projects that showcase your ability to collect, clean, analyze, and visualize data to derive actionable insights. Utilize platforms like GitHub to showcase your code and projects, and create a personal website or portfolio to highlight your work. Networking and Mentorship: Engage with professionals in the data science community through online forums, social media platforms, and networking events. Join data science meetups, workshops, and conferences to expand your network and stay updated on industry trends and best practices. Tailoring Resumes and Interview Preparation: Customize your resume to highlight relevant skills, experiences, and projects related to data science. Practice technical interview questions, coding challenges, and case studies commonly discussed in data science interviews. Essential Skills for Data Scientists Technical SkillsSoft SkillsProficiency in programming languages (e.g., Python, R)Problem-solving and analytical thinkingKnowledge of statistics and probabilityEffective communication and storytellingExperience with data manipulation and visualization tools (e.g., Pandas, Matplotlib)Collaboration and teamworkUnderstanding of machine learning algorithms and techniquesAdaptability and continuous learning mindsetFamiliarity with databases and SQL Career Path Options in Data Science Below are the career paths and growth in Data Science for engineers: Career LevelRolesEntry-LevelData AnalystBusiness Intelligence AnalystJunior Data ScientistMid-LevelData ScientistMachine Learning EngineerData EngineerSenior-LevelLead Data ScientistPrincipal Data ScientistChief Data Officer (CDO)Specialization AreasMachine Learning EngineerData EngineerData Visualization Specialist Challenges and Considerations Lack of Relevant Experience: Engineering graduates may lack direct experience in data science roles, making it challenging to compete in the job market. To overcome this, focus on building a strong portfolio of data science projects through self-study, online courses, and personal projects. Participate in hackathons, Kaggle competitions, or open-source projects to gain practical experience and showcase your skills to potential employers. Skill Gap: Data science requires proficiency in various technical skills, such as programming, statistics, and machine learning. A basic engineering course may not teach these skills, and the curriculum differs from institution to institution. Identify your skill gaps and develop a personalized learning plan to fill them through online courses, tutorials, and hands-on practice. Imposter Syndrome: Many individuals transitioning into data science may experience imposter syndrome, feeling inadequate or undeserving of their accomplishments. Remember that it’s normal to feel this way; focus on building confidence in your abilities through continuous learning and practical experience. Surround yourself with supportive peers and mentors who can provide encouragement and guidance along the way. Data Science with MAHE Making a successful career in data science with the Manipal Academy of Higher Education (MAHE) involves leveraging the right resources, programs, and opportunities. MAHE offers various postgraduate programs (M.Sc) in Data Science and MSc in Business Analytics etc. Participating in the institute’s hands-on projects will allow you to apply theoretical concepts to real-world problems, build your portfolio, and gain practical experience. You can also attend career fairs, networking events, and employer talks organized by the university to expand your professional network and explore job opportunities. Conclusion In conclusion, a data science career presents an exciting and rewarding pathway for engineering graduates. It helps them apply their analytical skills and technical expertise in a dynamic and rapidly evolving field. With the increasing demand for data-driven insights across industries, the fusion of engineering principles with data science methodologies offers abundant opportunities for innovation, problem-solving, and impactful contributions. Therefore, engineering graduates can embark on a fulfilling journey in data science, driving innovation and making meaningful contributions to the digital economy.
Data Science Course Duration: Become Data Scientist Quickly! Data science is the study of obtaining valuable information for business decision-making, strategic planning, and other purposes by utilizing cutting-edge analytics tools and scientific concepts. Data science drives organizations into better marketing and sales campaigns and boost operational effectiveness. Data science is a field that is always evolving. It uses computer science and statistical techniques to gather information and produce insightful forecasts across various sectors. The term “data science” and the discipline have evolved. Recent years have seen a huge increase in popularity due to developments in data gathering, technology, and the mass output of data internationally. According to Coursera, Data scientist jobs are predicted to rise by 36% between 2021 and 2031. If you are looking to become a data scientist or switch your career to data science, here are some of the top courses you can pursue. Read more: Is data science a good career option for you? Courses in data science When pursuing a degree in data science, you will be intrigued by the variety of courses you have to choose from. Below is a list of the different categories of data science courses. MSc in Data Science An MSc in Data Science is a postgraduate academic degree program that focuses on providing students with advanced knowledge and skills in the field of data science. The program typically covers topics such as statistics, machine learning, data mining, big data analytics, data visualization, and programming languages commonly used in data analysis such as Python and R. Read more: How to grow in your career with a master’s in data science Postgraduate certificate in Data Science The duration of a Postgraduate Certificate in Data Science varies but is typically shorter than a full master’s degree program, ranging from a few months to a year. These programs are often suitable for individuals who want to acquire specific skills in data science or want to upskill in data science. There are plenty of online data science certifications available, making it easy for working professionals to upskill without quitting their jobs. MBA in Data Science An MBA in Data Science is a specialized Master of Business Administration (MBA) program that focuses on integrating business management principles with advanced skills and techniques in data science. This program is designed to prepare students for leadership roles in organizations where data-driven decision-making is essential for success. In an MBA in Data Science program, students typically learn about topics such as data analysis, machine learning, predictive modeling, data visualization, big data analytics, and statistical methods. They also study business-related subjects such as strategic management, finance, marketing, operations management, and organizational behavior. The goal of an MBA in Data Science is to equip students with the knowledge and skills to effectively use data to inform business strategies, improve operational efficiency, drive innovation, and gain a competitive advantage in the marketplace. Graduates of this program are prepared to pursue a variety of career paths, including data science leadership roles, business analytics consulting, entrepreneurship, and executive positions in a wide range of industries. How long does it take to learn Data Science? The amount of time needed to master data science principles can be divided into three categories. Depending on your experience and how much time you are ready to devote to your data science studies, the time needed to reach a particular level of proficiency will vary. People with analytical backgrounds, such as those in physics, mathematics, science, engineering, accounting, or computer science, typically need less time than people whose backgrounds are not complementary to data science. Let us know more about how much time it takes to learn data science. Read more: Data science salaries Basic (6- 12 months) At level one, a prospective data scientist should be able to work with datasets typically supplied in CSV file format. They should be proficient in data fundamentals, visualization, and linear regression. The basic-level data science curriculum Basics of data: Data manipulation, cleaning, scalability, and engineering skills are required. The following abilities should be present: Understanding the import and export of CSV file-format data. Utilize dimensionality reduction methods, such as principal component analysis, to compress data (PC). Possess the ability to prepare and arrange data for analysis or model construction. Having the ability to scale data utilizing methods like normalization and standardization. Understanding how to handle missing values in a dataset. Data visualization: Know the fundamental elements of effective data visualization, the ability to use R’s ggplot2 package, the Python programs matplotlib and seaborn, and other tools for data visualization. should be familiar with the following important elements of effective data visualization: Data elements: Knowing the type of data, such as categorical data, discrete data, continuous data, time-series data, etc., is a crucial initial step in selecting how to show data. Geometrical element: You must now choose the type of visualization that best represents your data, such as a scatter plot, a line graph, a bar graph, a histogram, a Q-Q plot, a smooth density, a boxplot, a pair plot, a heat map, etc. Component of mapping: In this situation, you must choose which variable to use as the x-variable and which variable to use as the y-variable. This is crucial, especially if your dataset has multiple dimensions and features. Scale elements: You can choose the scales you want to use here, such as linear scale, log scale, etc. Component labels: This covers elements such as axes labels, titles, legends, the appropriate font size to utilize, etc. Ethical elements: Make sure your visualization accurately depicts the situation in this case. When cleaning, summarizing, modifying, and making a data visualization, you need to be mindful of your activities to avoid deceiving or manipulating your audience. Supervised education (Predicting Continuous Target Variables): Understand linear regression and other sophisticated regression techniques. Possess proficiency in using tools for creating linear regression models, such as caret and scikit-learn. Possess the skills listed below: Understanding how to use NumPy or Pylab to execute simple regression analysis Using Scikit-Learn, be able to do multiple regression analysis. Recognize regularized regression techniques such as Lasso, Ridge, and Elastic Net. Identify other nonparametric regression techniques, such as KNR and SVR (SVR). Determinate numerous measures for assessing a regression model, including R2, MSE (mean square error), and MAE (mean absolute error). Intermediate (7 – 18 months) The following competencies should be present in addition to the basic level abilities and competencies: The intermediate-level data science curriculum Supervised education (predicting discrete target variables) Recognize binary classification algorithms like: Classify using perceptrons and logistic regression. Create models using Scikit-Learn. Recognize several metrics, such as accuracy, precision, sensitivity, specificity, recall, f-l score, confusion matrix, and ROC curve, for assessing the quality of a classification system. Hyperparameter tuning and model evaluation Ability to integrate estimators and transformers in a pipeline. Capability to draw and analyze a receiver operating characteristic (ROC) curve. Knowledge to evaluate model performance using k-fold cross-validation. Understanding of how to read and comprehend a confusion matrix. Working knowledge of learning and validation curves for debugging classification algorithms. Combining different models for ensemble learning To employ the ensemble approach with several classifiers. Ability to integrate several classification algorithms. Understanding how to assess and fine-tune the ensemble classifier. Advanced (18 – 48 months) Worked with many datasets, including text, photos, speech, and videos. Should possess the following competencies in addition to basic and intermediate skills: The advanced-level data science curriculum Clustering Algorithm (Unsupervised Learning) Cloud Systems (AWS, Azure) K-means Theano Deep Learning Skills you will learn during a data science program The pointers mentioned are the prerequisites to learning data science – Math and statistics Analytical skills Knowledge of programming languages like Python, SQL, and R. Machine learning Soft skills (communication and presentation skills). Read more on data science career path. Conclusion Building a strong online presence, taking the top data science courses available, and adding them to your resume can help you stand out to companies. It will boost your likelihood of getting employed by demonstrating that you have the problem-solving and teamwork skills necessary to be successful as a data scientist. Additionally, you can explore the various data science courses available on Online Manipal data science course will help you succeed in your job; if you need assistance deciding which course to choose, get in touch with us. We believe this data science learning course will help you pursue a career in this fascinating and rapidly expanding industry. Enroll now to learn data science online.
Importance of sales in any organization Sales are the amount of merchandise and products sold by a company during a specific time period and are the main revenue-making unit in any firm. A sales team works together to create sales, boost profitability, and build and maintain connections with customers for customer retention and brand loyalty which makes it an essential part of a business. The sales team bridges the gap between potential customers’ demands and the products/services offered by the organization. A good sales team enables you to obtain qualified leads and clients who add value to your business. As a result, if the company has good sales, the overall growth of the company increases. Thus, the importance of the sales department in a business cannot be ignored. To know how an MBA in Marketing would be beneficial for individuals interested in working in the sales field, read Why choose an MBA in Marketing? Benefits of having an effective sales team in a company Here are some benefits of having an effective sales team: Generate new leads – Lead generation is a very crucial part of any business, and an efficient sales team handles the issue by implementing several strategies, such as setting sales goals, planning and implementing a sales model, and setting scalable sales processes. Customer retention – Long-term client relationships are lucrative for all firms as they result in recurring business, recommendations, and word-of-mouth promotion of the company. An efficient sales team implements strategies such as sales follow-up to retain customers. Customer engagement – An efficient sales team constantly pushes toward regular interactive options for the customers to increase customer engagement. They achieve it by taking feedback and making it evident to the customers that their opinion matters. Business growth – Sales play an essential role in establishing consumer loyalty and trust. An efficient sales team boosts growth in business by using various sales strategies to build customer trust and loyalty. Positive brand image – An efficient sales team achieves a positive brand image by identifying a target audience, assessing their need, catering to their requirements, and following up to get a positive review. Hence, if not for a competent sales team, a brand would lose its positive image and end up without an adequate ethos to approach its customers. Read more: 8 effective ways to improve sales for your business How to become a Sales Manager? Sales managers direct and supervise an organization’s sales team. This position may be of interest if you are interested in developing a sales strategy and managing a team of sales experts. You can improve your sales career and get into this high-level job by leveraging existing sales experience and obtaining the required education and training. The most common roadmap to becoming a sales manager is mentioned below: Earn a relevant bachelor’s degree, like a BBA. Obtain the necessary experience with entry-level positions. Consider getting a master’s degree, like an MBA in marketing. Obtain other necessary professional certificates. Improve your communication skills. Try to master leadership capabilities. Apply for the position. To know more, read the MBA marketing course syllabus. Roles & responsibilities of a Sales Manager Creating and implementing effective sales strategies to achieve revenue targets and organizational goals. Setting achievable sales targets for the sales team based on market analysis, previous performance, and business objectives. Monitoring the performance of the sales team and individual sales representatives to ensure they meet or exceed sales targets. Providing guidance, coaching, and training to sales team members to improve their selling skills, product knowledge, and customer relationship management. Assigning territories to sales representatives and ensuring equitable distribution of leads and opportunities. Staying informed about industry trends, market developments, competitor activities, and emerging technologies to adapt sales strategies accordingly. Sales Manager salary in India The average salary of a Sales Manager in India is INR 9.4 LPA. Entry level sales managers may earn up to INR 4,50,00 a month, and the salary increases with experience. You would need a significant amount of experience and expertise in the sector to earn a large wage package. Become an efficient Sales Manager with an online MBA in Marketing The sales department in business as we see today is expanding at a rapid pace as all companies want to keep their share in the market and extend further, which is becoming difficult for them in the era of high competition. It is hence high time for candidates to advance their careers in the sales section of a business. An online MBA in Marketing from the Manipal University Jaipur can be the exact launchpad that people have been looking for to enter the industry. MUJ online MBA program is designed by industry experts keeping in mind the latest developments in the business world. Expert faculty, live and recorded classes, vast repository of e-learning content, and placement assistance after program completion are some of the great benefits of Online Manipal, the virtual learning platform of MUJ. The online MBA program is definitely one of the best choices for a sales manager aspirant, as the curriculum equips individuals with the relevant knowledge and experience to advance their careers. The online MBA program will educate you to be a successful communicator in a rapidly changing contemporary world. It offers excellent mentorship, and the faculty magnifies the value of real-world ideas, allowing individuals to confidently chart their own routes to success. Individuals also get free access to paid content on Coursera with the course and can receive placement assistance to launch their career.
Are online degrees acceptable in the USA? If you are considering pursuing an online degree and getting a job in the USA or looking for further studies, you may wonder- Are online degrees valid in the USA? Well, online degrees from duly recognized universities are valid in the USA. With technological advancements and the surge of virtual communication, employers’ attitudes towards online degrees have shifted. The widespread availability of online programs from various colleges has led many employers to now view them on par with traditional degrees. Online degrees from all universities may not be recognized and accepted in the USA. If you want your diploma accepted by these institutions (and an employment edge), check with WES (World Education Services) before enrolling in a program offered by an unknown university or institution abroad. Read more: Importance of university accreditations and recognitions What is World Education Services (WES)? WES, or World Education Services, is a nonprofit entity providing credential evaluation services for individuals from abroad seeking to pursue education or employment in the United States and Canada. Founded in 1974, it operates primarily from New York, USA, with additional operations in Toronto, Canada. If you pursue an online degree from an institution that is recognized by WES, then your online degree is valid. To know more, check out Why do students prefer WES-accredited degrees? Is WES evaluation necessary for a degree to be valid in the USA? If you’re wondering whether or not your international diploma will be recognized in the United States, their services are worth exploring. However, to put it simply: WES evaluation is not necessary for a degree to be valid in the USA. Read more: Why do students prefer WES accredited degrees? Are online degrees recognized in the USA: What you should know According to the U.S Department of Education, schools must be accredited by a nationally recognized agency for students to get enrolled. Legitimate online degree programs are accredited by agencies recognized by either the Department of Education or the nonprofit Council for Higher Education Accreditation, known as CHEA. These include demonstrating that students have achieved measurable learning outcomes through examinations or other means; demonstrating that students have developed skills relevant to their professions; providing evidence of quality assurance; having faculty who hold PhDs or equivalent qualifications; etc. Factorsto consider before enrolling for an online degree If you are wondering whether your degree is valid in the USA, then consider these factors before enrolling for an online degree. Before you apply, it is important to consider the following questions: What is the demand for Indian citizens in the US job market? Are there any legal requirements to work in the United States? How much would I have to pay for an online degree from an accredited university? What are the top universities in India, and which are accredited by US accreditation bodies? You should also consider what type of education you wish to pursue. Is it an online degree from a private university, or do you want an online graduate degree from one of the top universities in India or abroad recognized by many employers as valid for employment purposes? The answer to these questions will help you narrow down your choices of schools and universities to research, as well as determine what type of degree you need. Recognitions and accreditations of universities After choosing a university, it is important to check whether the accreditations and recognitions are in place. The recognition should come from the university itself, as well as from the government and other universities. It also helps if employers recognize your degree. Learning management system (LMS) A learning management system (LMS) is a web-based software that enables the use of technology in teaching and learning. LMS is used to manage the course content, student enrollment, and other aspects of the course. A learning management system should be capable of managing some or all of these functions: Managing content and resources Enabling multilevel security for accessing instructional materials Providing tools for creating assignments, tests, and exams that are available online with automated marking based on responses Integrating with other applications, such as student information systems Course engagement level The first thing to consider is the student’s level of engagement in the course. If a student is highly engaged with their teachers, classmates, and content, then it is likely that they’re going to do well academically. So, if you want to boost your students’ grades, make sure that they’re engaged in the classroom. It can be done by using a variety of different techniques. For example, instead of lecturing to students for an entire class period, you could use more engaging methods like breakout groups or hands-on learning activities. The credibility of the degree The validity of your online degree can be confirmed by checking if it is recognized by organizations such as University Grants Commission (UGC), All India Council for Technical Education (AICTE), or National Assessment and Accreditation Council (NAAC). These accreditations and rankings are legitimate, and allow you to get a credible degree that is recognized worldwide. Affordability You might be wondering how much it costs to get a degree online. The answer depends on the school you choose. Generally, online degrees are cheaper than their traditional counterparts. Online universities offer degrees at a range of price points and can offer them quickly when compared with traditional universities. The cost of an online degree varies from one university to another. If you’re looking for an affordable way to earn your bachelor’s degree, consider choosing an online program that doesn’t require tuition payments until after graduation (and sometimes not at all). Student support Student support is one of the most important factors to consider when choosing an online university. The student support services offered by the university should be up to the mark and should be available 24/7. Students can contact their teachers, counselors, or admission officers through email, chat, or phone calls. Some universities provide virtual classrooms where students can participate in live lectures along with other students from all around the world through video conferencing facilities. It is advisable that students choose a university that provides sufficient opportunities for career counseling so that they can get proper guidance about their future goals and aspirations as well as plan accordingly with respect to their educational program or course selection. Students should also consider the reputation of the university they want to join. A good online university will have a strong academic foundation and a good track record in offering quality education to its students. It should have experienced professors and counselors who are well-qualified and well-informed about their respective fields of expertise. Placement assistance Placement assistance is a service provided by colleges and universities to help students find jobs after graduation. Placement refers to the process of finding a job or career. It can include getting an interview, being offered a position, accepting an offer, and starting work. So, before enrolling in an online course, do check out the placement services provided by them to land a job after completing your degree. Scholarships provided Scholarships are given to students who show merit, meaning they have earned good grades in high school and college. These scholarships are provided by universities or companies, and they might be based on your academic record or extracurricular activities. You can also get government scholarships based on your financial need (such as Pell grants) or outstanding talent (such as National Merit). There are also scholarships for minority students, women, and people with disabilities. You can find these scholarships at the local or national level from nonprofit organizations or government agencies. Demand for Indian citizens in the US job market In the United States, Indian students have abundant career prospects spanning various industries. Whether your interests lie in Computer Science, Healthcare, Finance, Engineering, or Education, there are ample lucrative opportunities awaiting Indian students in the USA. Here are some of the top job roles that Indian citizens can explore in the USA. Data Scientist (Average salary: USD 124,216 pa) Software Engineer (Average salary: USD 105,544 pa) Finance Manager (Average salary: USD 108,349 pa) Healthcare Manager (Average salary: USD 89,828 pa) Marketing Manager (Average salary: USD 90,356 pa) Teacher (Average salary: USD 53,399 pa) Online degrees from Manipal University Jaipur are acceptable in the US Individuals who want to work in the US must know that an online degree from Manipal University Jaipur is acceptable there. Manipal University Jaipur is an accredited university with approval from Distance Education Council (DEC) in India. It is also recognized by the Association of Indian Universities (AIU). Therefore, all online degrees provided by MUJ get WES approval and are accepted. You can find the most comprehensive degrees provided by MUJ on the Online Manipal platform. Our online programs are easily accessible, affordable and students can get access to an enhanced digital learning platform. Learners also get placement assistance that helps them find lucrative jobs after graduation. Conclusion Online degrees are becoming more popular and desirable today. If you’re looking to get your degree online, there are tons of options that are just as valid as traditional on-campus degrees. Online degrees are also more cost-effective. They offer many advantages over traditional classroom-based education, including flexibility and convenience for students who may not be able to attend classes in person due to their own commitments, such as family or work obligations. The good news is that employers don’t care where your degree came from or how much it cost—they just want to know if it’s legitimate.
Four pillars of data science Let’s start this blog by giving a short introduction to data science. Data science is the scientific discipline that uses data to answer questions, solve problems and conduct hypothesis validation. Data scientists use programming languages, statistical analysis and algorithms to create models that help them gather insights from the data they collect. They use their skills across different industries, including medicine, finance, insurance and retail, and work with massive amounts of data daily to find trends and patterns, thus helping businesses improve their services. For example, a data scientist may predict when people will buy a specific product or service based on past purchases or product reviews. Want to know what are the four pillars of data science? Read this blog to find out. Read more: Why data science is a world of new opportunities Four pillars of data science Data science is a field that’s constantly changing and evolving. It is hard to keep up with the latest trends, tools, and methods. However, there are some concepts that you can’t ignore if you want to make your data science career successful. Domain knowledgeMath & statistics skillsComputer scienceCommunication & visualization Following are the 4 pillars of data science – Domain knowledge Domain knowledge is the first pillar of data science. It is the understanding of the industry or the field where data science operates, for instance, understanding of a business and its customer base that allows you to develop products and services relevant to your customers and their needs. For a data scientist, it’s crucial to grasp the intricacies of the business process, identify its challenges, and discern the requirements of stakeholders. Understanding the business objectives and the specific tasks necessitated by data analysis is paramount. Proficiency in domain knowledge aids data scientists in formulating pertinent queries, choosing suitable analytical approaches, interpreting analysis outcomes, and offering valuable insights to the organization. For example, if you are working with a retail company, you can read about how other retailers have marketed their products in the past or attend industry conferences where experts discuss trends in retail marketing. Math and statistics skills The second pillar of data science is math and statistical skills. Math and statistics skills are crucial to data science, as you will use your knowledge of these subjects to analyze, interpret and present the data you collect. The most common mathematical techniques in data science include probability theory and statistical analysis. Probability theory is used to understand the likelihood of an event occurring, while statistical analysis helps you determine whether a specific event has occurred. Statistical analysis also involves calculating averages or medians or determining how close or far apart two sets of numbers are from each other. You can use this information to predict future events based on past events. Computer science The computer science pillar of data science is the foundation for all other 4 pillars of data science. Computer scientists use their expertise to solve complex problems and develop algorithms, software, and systems that allow for data collection, storage, analysis, and dissemination. They are also responsible for setting up decision automation processes that ensure accurate results from these systems. Computer scientists have a wide range of skills they can apply to data science, such as – In-depth knowledge of the computer’s functioning Ability to write code in languages like Python or R Working knowledge databases like SQL Ability to design algorithms that process hypothesis validation efficiently. Communication and visualization The last pillar of data science is communication and visualization. This means that you need to be able to communicate your findings and present them in a way that’s easy for people who aren’t experts in your field. You also need to visualize your data so that others can quickly grasp what it shows. Communication is vital because it allows you to share what you have learned with others in the organization and helps them understand how it will impact their lives. On the other hand, the visualization allows people unfamiliar with the information you have gathered from your data set to see its value more efficiently. You can use graphs, charts, or diagrams to present information visually rather than just presenting raw numbers or text-based reporting data. Essential skills for a data scientist Apart from mastering the four components of data science, data scientists need many other skills to stay competitive and excel in the domain. Here are a few skills today’s data scientists need- Data visualization Machine learning Deep learning Managing structured data Programming Familiarity with Hadoop, SAS, Python, R Data science job outlook Data science is a field that touches on several other disciplines, including math, statistics and computer science. Data scientists work with large amounts of data and then use statistical techniques for pattern discovery and obtaining insights. Top companies like Wipro, Infosys, IBM, Tiger Analytics, etc are on the constant lookout for data scientists who can add value to organizations by making business-driven decisions. Here are some of the top data science roles. Read more: Trending industries for data science jobs Job roleAverage salaryData ArchitectINR 26 LPAData EngineerINR 17 LPAData ScientistINR 14.4 LPAMachine Learning EngineerINR 11 LPABusiness AnalystINR 8.4 LPA Read more: Top data science companies in India Pursue an online data science course from MAHE If you are seeking to build a strong career in this domain, you must strongly consider enrolling in the data science course at Online Manipal. Exclusively designed by MAHE, the course helps you acquire the necessary skills along with expert guidance. You will learn about big data, machine learning and artificial intelligence – all critical for success in the modern workplace. In this course, you will gain a solid foundation in statistics, probability theory and linear algebra from your instructors at MAHE. You will also learn about various machine learning algorithms that can be used for predictive modeling, classification and regression analysis using Python programming. You will get hands-on experience with real-world data sets by working through case studies and applying what you have learned in each unit. You will also have access to an exclusive job placement team that can help you find employment after graduation or help you land interviews if you are already employed but looking for a career change. ALSO READ: Career path in Data Science Bottom line From the ability to make better decisions faster, to being able to predict what will happen before it does, data science has become a critical component of our society. The amount of data generated today will only continue to increase and become more complex. Therefore, it is important that you learn how to analyze and use this data in your life and career. MAHE offers an online MSc in Data Science course at Online Manipal that can help you get ahead in this ever-changing world of data science. Experts in the field design our courses to be fun and engaging while still being informative. The best part is that they are all 100% online, so you don’t even have to leave your house! Read more: Data science demand in India
Unlocking success: Real stories of triumph with Manipal Academy of Higher education In today’s rapidly changing educational landscape, the traditional barriers to learning are being dismantled, paving the way for a new era of flexibility and accessibility. In this environment, Online Manipal emerges as a beacon of innovation, offering dynamic programs in collaboration with various top Manipal universities designed to cater to the diverse needs of modern learners. At Online Manipal, we understand that the demands of life often pose challenges to traditional education. Whether it’s balancing work, family, or other commitments, our students need a learning solution that fits seamlessly into their lives. That’s why we’ve developed a range of flexible and accessible programs with Manipal Academy of Higher Education, Manipal University Jaipur, Sikkim Manipal University, etc, that empower individuals to pursue their educational goals on their own terms. Through the inspiring journeys of our students, we witness the transformative power of Online Manipal’s innovative approach. From working parents seeking to advance their careers while managing childcare responsibilities to seasoned professionals looking to stay ahead in their fields, our programs have become a catalyst for success across diverse backgrounds and circumstances. In these stories, we see individuals who refuse to let obstacles stand in the way of their dreams. They embrace the flexibility of online learning, leveraging technologies and resources to overcome geographical barriers and time constraints. With access to high-quality education anytime, anywhere, they are able to chart their own path to success and unlock new opportunities for personal and professional growth. As we continue to navigate the ever-evolving landscape of education, Online Manipal remains committed to providing innovative solutions that empower individuals to reach their full potential. Through flexibility, accessibility, and a dedication to excellence, we strive to be the catalyst for transformation in the lives of our students, helping them turn their aspirations into reality. Asha Devi: Embracing Flexibility As a working mother in Hyderabad, Asha Devi faced the challenge of balancing her professional aspirations with childcare responsibilities. Determined to embark on a journey in Data Science (DS), Asha turned to MAHEl for a solution. Elaborating “As a working mother in Hyderabad, the dynamic job market compelled me to delve into the realm of Data Science (DS). However, juggling childcare and professional commitments made attending physical classes impractical. Fortunately, Online Manipal came to my rescue, offering a flexible solution tailored to my needs. Accessing recorded lectures during weekends allowed me to strike a balance between family and career. The seamless flexibility of online learning proved to be a game-changer, earning my experience a solid 9 out of 10 rating.” Dhumane Chetan Pradip: A Seamless Transition With a decade of experience at NESS under his belt, Dhumane Chetan Pradip recognized the need to stay ahead in his field. Elaborating on why he choose to upskill and with MAHE, he says,” “My journey with Online Manipal has been nothing short of exceptional. As someone with a decade of experience at NESS, upgrading my skills was paramount. Online learning was the obvious choice, and Manipal’s renowned infrastructure sealed the deal. With a perfect 10/10 rating, I commend the overall experience for its seamless accessibility and enriching content.” Abhishek Godiyal: Elevating Professional Growth For Abhishek Godiyal, the decision to pursue further education was driven by the desire for deeper knowledge and a professional degree. Having set his mind on upskilling and choosing MAHE as his learning guide, here is what he has to say about his learning journey, “In the pursuit of a deeper understanding of my field and the need for a professional degree, Online Manipal emerged as the ideal solution. With three years at IAA under my belt, I needed a program that aligned with my demanding work schedule. Online Manipal not only met but exceeded my expectations. Manipal’s esteemed reputation coupled with the convenience of recorded classes made the learning journey both enriching and manageable. It’s no surprise that my experience garners high praise, earning my unequivocal recommendation.” Here is why MAHE is the best to pursue an online MSc in data science Choosing the right institution for pursuing an Online MSc in Data Science is a crucial decision that can shape your academic and professional journey. Here are some compelling reasons why Manipal Academy of Higher Education (MAHE) stands out as the best choice for this endeavour: Reputation and Accreditation: MAHE is a prestigious institution with a long-standing reputation for academic excellence and integrity. Accredited by top organizations, MAHE ensures that your degree holds value and credibility in the job market. Expert Faculty: MAHE boasts a team of experienced and highly qualified faculty members who are experts in their respective fields. With their guidance and mentorship, you can gain a deeper understanding of Data Science concepts and techniques, preparing you for success in the industry. Comprehensive Curriculum: The Online MSc in Data Science program at MAHE is designed to provide a comprehensive and cutting-edge education in this rapidly evolving field. From foundational principles to advanced topics, the curriculum covers all aspects of Data Science, equipping you with the skills and knowledge needed to excel in your career. Flexible Learning Options: MAHE understands the diverse needs of today’s learners and offers flexible online learning options that allow you to pursue your degree from anywhere in the world. Whether you’re a working professional or a busy parent, you can access lectures, assignments, and resources at your convenience, without compromising on quality. State-of-the-Art Resources: As a student at MAHE, you’ll have access to state-of-the-art facilities and resources that enhance your learning experience. From advanced computing labs to online libraries and research databases, you’ll have everything you need to succeed in your academic journey. Supportive Learning Environment: At MAHE, you’ll be part of a vibrant and supportive learning community that values collaboration, diversity, and inclusivity. Whether you’re interacting with faculty members, fellow students, or alumni, you’ll find a supportive network that encourages growth and development. Overall, MAHE offers a superior learning experience that combines academic rigor with flexibility, industry relevance, and support. By choosing MAHE for your Online MSc in Data Science, you’re making a wise investment in your future and positioning yourself for success in the exciting field of Data Science.
Women leading the way: Inspiring tales from our learners’ families Sooner or later, those who win are those who think they can. And sometimes, when we are confident, all we need is a little support. Here’s a shout out to all the families who are not afraid to support women! Resonating with that thought, we decided to speak to some of our female learners and their families to bring to you some incredible stories of how they have emerged against all odds to become the new-age empowered women of the 21st century. All these magnificent women have one thing in common – equally determined and supportive families who are ready to go all the extra mile to stand by the girls and women in their families to help them achieve their dreams. Read on to know their story, their struggles, their success and cheer them on this Women’s Day! “My daughter is breaking barriers despite her health problems. And I support her” Omanshi’s parents had already made one of the biggest and toughest decisions of their lives. To make their young daughter live in a different city from the tender age of 6 years to ensure her education is not hindered. However, fate had other plans for them when Omanshi had to be brought back home to undergo an open-heart surgery. Her parents resolved to never separate from their daughter again. Despite all the hurdles, they wanted their daughter to never stop dreaming. Encouraging her to pursue her dream degree, Omanshi’s mother, Arthi devi says, “Considering her health situation, we decided that pursuing an online degree would be the best choice for our daughter. Amazingly, she can get a degree from home. We have always been supportive of Omanshi’s choices and decisions. We don’t know what her future holds, but her financial independence is of utmost importance to us”. This online BBA degree from Manipal University Jaipur has empowered Omanshi to pursue her education from the comfort of her home and is a savior for many other learners like her. “My daughter’s degree does not come at the cost of her passion for music. And I support her” Babitha Sharma is a proud single mother of two incredible daughters. Babita’s elder daughter is a doctor, and now she’s playing a pivotal role in fueling her younger daughter’s dreams and aspirations. “I’ve always supported my daughters’ passions. Sruti is a multitalented girl who’s passionate about music, graphic design, and computers. While she’s already pursued a course in graphic design and is currently working on her passion for music, she also loves computers. So, she chose an online degree so that she can parallelly pursue her other interests,” says Babita Sharma, Sruti’s mother. Online Manipal is empowering Sruti by allowing her to balance her interests and studies by giving her access to a flexible BCA degree. “My daughter is studying online because she couldn’t attend regular college. And I support her.” Hailing from the small town of Phulwari, Bilhaur, Khushi Shukla’s family consists of her father, mother, and younger brother. Unable to attend regular college due to personal reasons, Khushi chose an online degree. “We felt the need for our daughter to study even though she couldn’t attend college. And I believe that it is very important for girls to be educated for our nation to progress. I think Manipal University Jaipur is doing a great job by providing degrees online so she can study from home,” says Sunil Kumar Shukla, Khushi’s father. The online degrees available on Online Manipal are from top Manipal universities and are accessible to learners from all corners of the world, just like how it has benefited Khushi. “My daughter chose to study more than my son. And I support her.” They say, “If you educate a woman, you educate a family, a nation.” This holds true in the life of our learner, Kainaz Firdausi. She comes from a family with a lineage of PhD holders and master’s degree holders, where education is seen as the most valuable asset in their lives. “I have three daughters and one son, and I have never been partial towards anybody. Everyone deserves to be educated. Also, I belong to a family where everyone is well-educated. One of my sisters is a PhD holder, another one is an advocate in the Delhi High Court. Now I’m supporting Kainaz’s dream of pursuing BCom and will stand by her even if she wants to study further,” says Misbah Firdausi, Kainaz’s father. “The funny part is my daughters are smarter than my son,” he jokingly says. Kainaz belongs to a family that values education and Online Manipal is proud to play a key role in her educational journey. “My daughter is striving to be financially independent. And I support her” The whole world’s structure went haywire during the Covid-19 pandemic, severely affecting job and education domains alike. However, online education came as a savior to students as they could study from their homes. When our learner Isha Gupta was worried about how she would continue her education, she came across MUJ’s online degrees. Isha and her parents didn’t want her to take a break from her studies. Speaking about the importance of education, Neeraj Gupta, Isha’s father says, “During Covid, attending regular college was out of the question. However, I didn’t want my daughter to sit idle, so we decided that an online degree was the best choice. Also, considering that my daughter wanted to be financially independent, MUJ’s online degree is equal to a traditional degree, and we are confident she will be able to find a job.” “My wife’s online degree is helping our business. And I support her” Our online learner Sneha took a break from academics due to personal reasons. However, her husband, Hariprasad, stepped up and encouraged her to continue her studies and pursue her aspirations. “As a supportive husband, I prioritize helping my wife achieve her dreams. Although I haven’t studied much I did not want that to stop her from studying. Now my wife’s BCom degree has become very beneficial for our business,” says Hariprasad. An advocate of equal opportunities in education and empowerment, Hariprasad says he will continue to stand as a pillar of support in Sneha’s online learning journey. “My daughter is funding her degree & supporting the family financially. And I support her.” Evangelin Lenin, online BCom Our online learner Evangelin Lenin is, in all true essence the definition a modern independent woman. She is self-funding her degree and shouldering her family’s responsibilities, and her mother, Jasmine Lenin, is proud of her. She’s been able to achieve this also because of MUJ’s affordable and flexible online degree. “In my perspective, both daughters and sons deserve equal opportunities in education. However, providing additional education to girls contributes to the holistic development of society, given their pivotal role in passing down knowledge to future generations. With two daughters, I prioritize and give equal importance to both their education and overall growth. Presently, she is pursuing a flexible online degree from Manipal University Jaipur while actively contributing to supporting the family,” her mother Jasmine says. Wrapping up As we celebrate the achievements and resilience of women worldwide, let us recommit ourselves to investing in women’s education. By supporting and empowering women through education, we not only accelerate progress but also create a more inclusive, equitable, and prosperous future for all. HAPPY INTERNATIONAL WOMEN’S DAY!
