M.Sc Data Science / Analytics

Statistics, machine learning, data engineering and domain applications. Strong demand across sectors, with outcomes closely tied to genuine statistical grounding and project portfolio.

Who can apply. Graduation with Mathematics/Statistics/Computer Science background.

How you get in. CUET PG, University entrance, Institute admission tests.

How it is studied. Full-time; distance or online mode only where the university holds specific UGC-DEB approval.

Admission rules change every year. Confirm eligibility, the entrance test and the calendar against the current official notification.

Where people work.

• Technology companies
• Analytics and consulting firms
• Banking and fintech
• E-commerce and retail analytics
• Healthcare analytics
• Global capability centres

What you can study next.

• Ph.D
• Specialised AI/ML certifications
• Senior data science leadership

Indicative total course fee. Govt/University: about 20,000 - 1,50,000 total; Private: about 1,50,000 - 8,00,000 total.

Indicative starting salary. 45,000 - 100,000 per month.

Typical duration. 2 years.

Fees and salaries here are indicative ranges, not quotes. Confirm the current fee with the institution and treat the salary as a starting range that varies by employer and location.

Over two years, you study statistics, machine learning, data engineering and the use of data in different sectors.

This course suits a graduate who wants to work with data, statistics and machine learning in a full-time two-year programme.

• You have studied Mathematics, Statistics or Computer Science in your graduation.
• You are ready to prepare for CUET PG, a university entrance exam or an institute admission test.
• You want roles such as data scientist, quantitative analyst or research scientist.
• You are willing to build a project portfolio alongside learning statistical methods and data engineering.
• You want to work in areas such as banking, fintech, e-commerce, healthcare analytics or technology companies.
• It does not suit you if you want to avoid mathematics and statistics, or need a course you can finish within a year.

For the full two-year M.Sc Data Science / Analytics course, government and university fees usually fall between Rs 20,000 - 1,50,000, while private university fees are typically Rs 1,50,000 - 8,00,000.

In India, M.Sc Data Science / Analytics graduates commonly start at about ₹45,000 to ₹1,00,000 a month. Your statistics skills, project portfolio, role and employer affect where you fall in that range.

India

Pay is usually stronger in technology, analytics, consulting, banking, fintech, e-commerce, healthcare analytics and global capability centres.

The hard part is not learning a few machine learning tools. You need real comfort with statistics, mathematics, coding and messy data. Many applicants have similar degrees, so a certificate alone does not separate you. Fees range from about ₹20,000 to ₹1.5 lakh at government or university programmes, and about ₹1.5 lakh to ₹8 lakh at private institutions. Online or distance study also needs specific UGC-DEB approval from the university.

There are openings in technology, banking, fintech, e-commerce, healthcare, consulting and global capability centres. Starting pay is listed around ₹45,000 to ₹1 lakh a month, but it varies with your statistical base, projects and the institute. A two-year M.Sc gives you time to build deeper skills than a short course, especially if you want data science, quantitative analysis or later Ph.D. work.

Students who do well usually practise beyond classroom assignments. They clean imperfect datasets, explain why a model was chosen, check results with statistics, and document their work clearly. They build a small project portfolio that shows data engineering as well as analysis. They also choose one domain, such as banking or healthcare, and learn the kind of data and problems used there.