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Top Online MSc Data Science Programs in India: Fees, Eligibility & Career Scope

By Shruti Singh

Updated on Oct 19, 2026

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Your career in data science begins with picking the right degree that suits your interests, budget, and schedule.

  • Some of the best MSc Data Science programs in India include Chandigarh University Online, Manipal, Amity University Online, LPU Online, Shoolini University, SASTRA, and VIT. The duration of most programs is two years and the fees depend on universities.

  • Before picking a course, you should compare tuition fees, eligibility criteria, university recognition, curriculum, practical projects, flexibility in learning and student support.

  • The best MSc data science degree will help you become a Data Analyst, Data Scientist, Business Intelligence Analyst, and Data Engineer among other professionals. Your career progression will depend on your technical skills and experience.

  • Chandigarh University Online is worth considering because of its flexible learning, practical projects, and career support. Confirm the latest fees, eligibility, and online program approval before applying.

This blog covers top MSc data science colleges in India, their fees, career opportunities, salary considerations and ways to improve your job prospects. You will learn what to consider before enrolling and why Chandigarh University Online is worth considering.

Which Are the Top Online MSc Data Science Programs in India?

Think of this table as a quick map. It places seven universities side by side with their fees, duration and likely job roles, which makes it easier to shortlist top online MSc data science colleges in India before you read the details.

University

Total program Fee

Duration

Potential Career Roles

Chandigarh University Online

₹1,46,668 (₹1,10,001 with up to 25% early bird scholarship)

2 years

Data Scientist, Data Analyst, Business Intelligence roles

Manipal (Manipal Academy of Higher Education, Online Manipal)

About ₹2,80,000 (₹70,000 per semester)

24 months

Data Scientist, Big Data Engineer

Amity University Online

About ₹2,53,000

2 years

Data Analyst, Junior Data Scientist, Data Engineer

LPU Online

About ₹1,60,600 (₹40,000 per semester)

2 years

Data Analyst, Business Intelligence Analyst, Data Scientist

Shoolini University Online

About ₹1,20,000 (around ₹60,000 per year)

2 years (4 semesters)

Data Analyst, Data Scientist

SASTRA Online

₹1,60,000 

2 years

Data Scientist, Data Analyst, Data Engineer

VIT (Vellore Institute of Technology)

About ₹1,70,000 (around ₹42,500 per year)

2 years

Data Analyst, Data Scientist

Fees and eligibility change from time to time, so confirm the latest details on each official program page before you apply.

How to Choose Between These Universities

Fees are just one element of what makes a good MSc data science online program. Recognition, quality of education, total cost, and student support are equally important factors.

These six criteria will help you evaluate any top MSc data science online program in India you have shortlisted.

  • Recognition: Make sure the university itself is accredited, and that the particular program has been accredited for online delivery. University accreditation and program-level accreditation are two separate things.

  • Curriculum: Find out whether the program offers an updated curriculum that strikes a balance between theory and practical knowledge and prepares students for real-world challenges.

  • Practical projects: Practical assignments and cases studies allow building a portfolio, which is often more valuable for an employer than the diploma.

  • Total cost: Calculate tuition fees, examination fees, registration costs and other expenses. Lower tuition can turn into higher total cost.

  • Flexibility: Lectures, seminars and online examinations should be flexible enough to fit into your work-life balance without causing constant stress.

  • Student support: Student assistance from academic, technical and career advisors is crucial when studying independently.

What Is the Career Scope After an Online MSc Data Science?

Data skills are valuable in most sectors today. However, earning potential and job roles are determined by other factors beyond the degree. This section provides details about the nature of jobs after an MSc data science online India program in easy-to-understand terms.

  • Skills matter: The employer cares about your ability to handle data in terms of data cleaning, analysis, and clear communication of findings.

  • Projects matter: A few well-explained projects speak louder than grades especially if you are just starting in the field.

  • Experience counts: Experienced people can easily transition to data positions owing to their understanding of how businesses operate.

  • Employer requirements vary: Different employers have different needs depending on the tools and challenges faced in the workplace.

  • No guarantees: The degree provides opportunities but does not guarantee employment or a set salary.

Job Roles After an MSc in Data Science

The various roles suit different backgrounds. Some are typical first jobs while others require some years of experience. This is a general overview of popular job roles after an MSc Data Science India program.

Job Role

What You Do

Common Skills

Typical Level

Average Salary

Data Analyst

Collects and studies data to answer business questions, such as why sales dropped last month

Excel, SQL, data visualisation

Entry-level

₹6.9 L/yr

Business Intelligence Analyst

Builds dashboards and reports that help managers track performance

BI tools, SQL, reporting

Entry to mid-level

₹9.9 L/yr

Junior Data Scientist

Builds simple models to predict outcomes, such as which customers may leave

Python, statistics, basic machine learning

Entry-level

₹6.5 L/yr

Machine Learning Engineer

Turns models into working systems that run inside apps and websites

Python, machine learning, coding practices

Usually experienced

₹13.3 L/yr

Data Engineer

Builds and maintains the pipelines that move data safely from one place to another

SQL, Python, databases, cloud basics

Entry to mid-level

₹12.2 L/yr

Statistical Analyst

Uses statistics to test ideas and find reliable patterns in data

Statistics, R or Python, research methods

Entry-level

₹8.2 L/yr

Source: AmbitionBox

Industries That Hire Data Science Graduates

All businesses collect data these days, which is why recruitment is done in many sectors. Here are the key sectors, along with a brief description of how each of them makes use of data.

  • IT and Software: Businesses analyze user behavior to enhance their products and develop new features.

  • Banking, Financial Services, and Insurance: Professionals analyze data to detect fraud, calculate risks and make decisions regarding loans.

  • Healthcare and Life Sciences: Hospitals and research organizations utilize data for enhancing patient experience and improving research efficiency.

  • Retail and E-commerce: Online stores predict demand, recommend products and create discounts based on customer data.

  • Consulting: Consulting firms use data analysis to make better business decisions for their clients.

  • Manufacturing: Factories utilize data to predict machine failures and minimize waste.

  • Logistics: Delivery organizations plan efficient routes and manage stock through real-time data.

  • Telecommunications: Network companies analyze usage patterns for better service and retaining customers.

What Factors Affect Data Science Salaries?

There are differences in salaries among data scientists. Even two individuals who have graduated from the same course can end up earning vastly different amounts of money, which is common in best online MSc data science India careers. When comparing different offers, ensure that you are comparing apples to apples by checking whether the amount is CTC or fixed salary.

  • Technical skills: The better your technical skills are, the better your offer will be.

  • Experience: The longer your experience, the higher your offer will be.

  • Portfolio: Having a clearly defined portfolio showcases your skills and can increase your worth.

  • Role complexity: Model building and system building roles usually pay more than basic reporting roles.

  • Employer: Big organizations, startups and consulting firms pay differently.

  • Industry: Some industries like finance and technology pay differently than others.

  • Location: Metro cities pay higher than other cities.

How Can You Improve Your Salary Prospects?

Good thing is that you control most of those items on your own and small efforts while studying will pay off when you will be starting your job applications.

  • Portfolio projects: Work on 3-4 projects like housing prices prediction and explain them simply.

  • Python: As this programming language is widely used among the majority of data-related jobs, its regular practice will do good.

  • SQL: It is used for extracting the information from databases and will be useful for any analyst position.

  • Statistics and visualisation: Knowing numbers and being able to present them clearly in the form of a chart will increase credibility of your results.

  • Relevant experience: Internship, freelancing and small office projects prove your ability to apply knowledge in practice.

  • Communication skills: Ability to explain results to non-technical people is a definite advantage and it is easy to develop them.

Of course no course can promise a specific salary level, so think about this list as tips for improving your chances.

How Do You Choose the Right Online MSc Data Science Program?

With so many options, a simple checklist keeps you focused. Instead of comparing universities one by one again, this framework helps you judge any top online MSc data science programs in India on your own terms and avoid decisions based only on advertisements.

Check Recognition, Curriculum, and Faculty

Recognition decides whether your degree is accepted by employers and for higher studies. Check the program on the UGC-DEB list, which is the official record of approved online programs, for your admission session.

  • UGC-DEB entitlement: Look for the specific program in the current session, not just the university’s name.

  • Subjects and syllabus: Review what is taught and how often the university updates it.

  • Faculty profiles: Check teachers’ qualifications and industry experience.

  • Practical work: Look for projects, case studies and hands-on tasks.

  • Assessment methods: Understand how exams, assignments and grading are handled.

  • Support resources: Find out about recorded lectures, study material and mentoring.

Compare Total Cost, Flexibility, and Student Support

Two programs can look similar and still feel very different once you are enrolled. Compare the rest of the package carefully, especially if you plan to study while working.

  • All mandatory fees: Include registration, exam and any other charges apart from tuition.

  • Payment terms: Check EMI options, instalments and what happens if you miss a payment.

  • Scholarships: Read the conditions, such as deadlines or marks requirements.

  • Class and exam format: See whether classes are live or recorded and how exams are taken.

  • Academic and technical help: Test how quickly queries get answered.

  • Career services: Ask what is actually offered, such as resume help or interview practice, and avoid assuming placement.

Match the program to Your Background and Goals

Your starting point matters. A person from a computer science background and a person from commerce will need different things from the same top MSc data science online India program, so match the entry rules and curriculum to your own situation.

  • Fresh graduates: Look for strong basics, projects and career guidance to help you land a first job.

  • Working professionals: Prioritise flexible timings, recorded lectures and manageable exam schedules.

  • Career switchers: Choose programs that begin with fundamentals and offer practical projects to build confidence.

  • Technically experienced learners: Pick programs with advanced content that go beyond what you already know.

Why Choose Online Chandigarh University for Online MSc Data Science?

Chandigarh University Online provides a two-year course designed for professionals and graduates who prefer flexibility. Here is the factual information regarding what the university says about its best MSc Data Science online course in India, according to its program page.

  • Recognition: CU Online offers UGC-recognized degrees, NAAC A+, and NIRF Rank 19.

  • Harvard affiliation: Its courses are powered by Harvard, and its tools and frameworks are Harvard-certified.

  • Flexible learning: Lectures are live and recorded, and an AI-powered learning platform enables you to study and give exams from any place.

  • Practical curriculum: The university mentions 12+ projects, live expert sessions, and industry-specific AI learning tracks.

  • Affordable fees: One can secure a seat for ₹10,000, and after that, one can avail EMIs, scholarships, or discounts.

  • Career services: Services include placement assistance, internships, CV assistance, and one-on-one mentorship.

Conclusion

In order to select the best online MSc in data science course in India, one must look further than just the cost. Consider factors like university reputation, eligibility, course curriculum, projects, flexibility, and student assistance to ensure that the course you select matches your requirements and is within your budget.

An MSc in data science will allow you access to careers in data analytics, business intelligence, machine learning, and data engineering, among others. To help boost your pay package, get experience under your belt and become proficient in Python, SQL, and statistics.

Review the top online MSc data science programs in India and find the right one for you.

Shruti Singh

Shruti Singh

SEO Consultant | 1.5 yrs of experience

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Associated with upGrad since 09 Mar 2026


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Shruti Singh is a passionate SEO and digital marketing professional with 1.5 years of experience across SEO, content creation, social media, Reddit marketing, and digital content. At upGrad, she develops SEO articles, web content, and program copy, blending in-depth research, search intent, and compelling storytelling. Her expertise spans keyword research, content planning, and optimization, with a focus on creating content that is both search-friendly and reader-centric. She believes impactful SEO content goes beyond rankings, it answers meaningful questions, simplifies complex ideas, and empowers readers to make informed decisions.

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