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Top opportunities with M.Sc. in Data Science in India

Data Science

The M.Sc. in Data Science is a course for those who wish to master in the data science domain. This course provides students with the skills and knowledge to succeed in their professional life across industries. Students can select the discipline of their choice from the data science master’s program. 

Their innovative and analytical techniques improve the efficiency and performance of operations and functions within many different organizations by gleaning and analyzing big data. 

How does an M.Sc. in Data Science degree work? 

M.Sc. in Data Science is designed to give learners the data skills and knowledge needed to make them sought after professionals in today’s job market. The program combines machine learning, big data analytics, and statistics to create a comprehensive curriculum. Participants can gain practical experience in machine learning applications and predictive modelling, apply their insights to real-world data sets, collaborate productively with teams, develop objectives and offer tactical advice, and manage projects, people and processes. 

Are you still wondering if you pursue an M.Sc. Data Science? Read this article on how spending two years to pursue a data science course help you boost your career. 

Why are master’s degrees in data science becoming so popular? 

Data is the fuel driving today’s world and organizations across sectors are harnessing its power. Big data is effective in helping businesses develop products, services and strategies that meet the expectations of their target audience. Furthermore, it is the basis of a great number of niche technologies such as AI, ML and neural networks. Data Science is now an integral part of companies’ strategies to stay competitive in the constantly changing economy. 

You may like to know about the importance of data science

The scope of M.Sc. Data Science in India 

In India, Data Scientists are in high demand in the following industries: 

  • E-commerce: Retail brands analyze customer profiles, profits, losses, and consumer behavior based on data analysis to sell the right products and influence customer behavior. 
  • Manufacturing: Increase productivity, minimize risk, and increase profits with manufacturing. You can improve productivity and processes as well as predict trends. 
  • Banking & Finance: In banking and finance, data analysis can help banks and financial institutions understand customer journeys and customer loyalty, as well as gain new customers. It allows them to build FinTech products and solutions based on transaction data. Banks also use transaction data for fraud and risk management. 
  • Healthcare: Analyzing the data optimizes all aspects of healthcare after reviewing and learning previous patient records. 
  • Transportation: As a data scientist, you can improve the reliability of your service and mitigate risk for the transportation industry. 

Increasing start-up numbers, e-commerce growth, customer-centric markets, and a large population all contribute to high demand for data science professionals in India. 

Find out the best candidates whom an M.Sc Data Science will suit

Careers in data science

Top career options in Data Science

The data science field is one of the fastest-growing and most rewarding careers today. You can expand or transform your career by learning skills in this field. As companies create more and more useful data, the number of jobs increases. Many industries need data scientists, engineers, analysts, and more. 

The following are some of the top careers you can choose from: 

  • Statistician: In order to develop functional guidelines and encourage realistic answers to questions, statisticians collect, investigate, and evaluate quantitative data from surveys and audits. In order to work in this field, you need to have key skills and industry experience. 
  • Data Analyst: In addition to being curious and logical, data analysts have a special ability to analyze numbers. All associations and companies collect information, whether it is marketing forecasts, adjustments, statistical surveys, or shipping costs. In order to gain a clear understanding of how associations can develop their business methodologies and make better business decisions in different regions, data analysts need to gather and evaluate this information. 
  • Mahine Learning Engineer: A machine learning engineer is a professional who works in the field of machine learning, which is still in its infancy. In conjunction with the association’s data science team, machine learning engineers program, perform calculations, and enable machines to move, make decisions, and interact virtually with customers. Using custom online media and news channels, and naturally moving vehicles, communicate your product and governance. 
  • Data Architect: Data architects configure and secure information systems for monitoring large electronic data sets for organizations using a variety of programming devices. It is a professional responsibility to ensure that the information provided is accurate, relevant, and accessible to the organization. Staff can access this information from anywhere, anytime, as well as financial records and presentation data. 
  • Data Scientist: To develop new solutions, business strategies, and improve operations, data scientists use algorithms, artificial intelligence, machine learning, and other statistical tools to identify complex raw data from multiple sources and convert it into meaningful, transparent information. 
  • Market Research Analyst: Market research analysts collect and analyze data from multiple sources to identify key market trends and information that can help companies sell their products or services in the most effective way. This encompasses buyers’ socio-economic conditions, different modes of payment, requirements, desires, developments, and more. An advanced degree in Data Science can be beneficial for this area of work for professionals in India. 
  • Application Architect: In this fast-paced work, application architects have a good professional vision, the ability to provide experience and answers to improve, use, and support programming, as well as solid insight, critical thinking, and problem-solving skills. The application programming software consistently performs various tasks, including building better applications, building models, running programming tests, and generating special reports. 
  • Business Translator: Analytical Translators focus on cutting-edge, innovative innovations such as artificial intelligence (AI) and machine learning to increase business efficiency. 
  • Chief Data Officer (CDO): The chief data officer should consciously direct the association’s information and create a business reputation from the association’s most important assets. As a Chief Data Officer, you need a professional master’s degree like a master’s degree in data science, industry experience, and key skills like maths and analysis to become a Chief Data Officer. 
  • Chief Technology Officer: This position requires technical information about how they can be incorporated into mechanical patterns and business method construction. Chief Technology Officers discuss and lead technical investigations, considering ways to ensure the company has the resources it needs to build and maintain technological innovations. 

Know more about data science jobs in 2023

Earn M.Sc. in Data Science from MAHE 

Manipal Academy of Higher Education (MAHE) now offers an online M.Sc. in Data Science. This UGC-approved online postgraduate program from one of the top-10 universities in India is one of the best in the world. 

There is no better learning management system today than MAHE’s intuitive learning management system. MAHE’s expert academicians provide uninterrupted learning anywhere, anytime, so you can learn at your own pace and time. The bite-sized learning material, short videos, recorded lectures, quizzes, discussion forum, and e-library make the learning effective. 

In order to apply for the M.Sc. Data Science program, one needs to graduate with a minimum of 50% of marks or equivalent grade in Statistics/Mathematics/Computer Science [BSc/BE/BTech/BCA] or an equivalent degree from a university/institute recognized by the Association of Indian Universities (AIU). 

To provide students with better job opportunities in data science and leadership, the program covers all the concepts related to data science

In conclusion

It is the purpose of this article to explain the evolution of data science, its industry demand, and the skills that recruiters are seeking. We also examined various job options after completing a master’s degree in data science in India. By knowing all these details, you can decide whether to pursue a data-focused degree. Therefore, enroll now in the online Data Science postgraduate degree program at MAHE if you are interested in using technology to analyze information and interpret the results. 

Disclaimer

Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.


Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

  • TAGS
  • data science
  • Manipal Academy of Higher Education
  • online degree
  • online education in India
  • Online MSC Data Science

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