15 Best Data Science Courses in India in 2026: Fees and Career ROI

Data science has become one of the most popular career paths for students, engineers, analysts, and working professionals in India. Companies use data science for forecasting, recommendation systems, fraud detection, customer analytics, automation, pricing, and artificial intelligence.

But choosing between the many data science courses in India is not easy. Some programmes are full degrees, some are short-term certifications, some focus heavily on machine learning, while others are closer to data analytics and business intelligence.

The price can also vary dramatically. You can learn through low-cost or free resources, while premium university-backed programmes can cost several lakh rupees.

I’m Riten, founder of Fueler, a skills-first portfolio platform building the career infrastructure for 100 million creative professionals. Fueler connects talented individuals with companies through assignments, portfolios, and projects, not just resumes or CVs. Think of it as Dribbble/Behance for work samples combined with AngelList for hiring infrastructure.

In this guide, I will compare 15 of the best data science courses in India in 2026 based on curriculum, practical projects, career support, fees, and potential ROI. I will also explain which programmes make sense for freshers, working professionals, career switchers, and learners on a limited budget.

Important: Course fees, batches, eligibility rules, and career-support terms can change. The fees below are indicative 2026 figures based on publicly available programme information and should be checked again before enrollment.

1. IIT Madras BS in Data Science and Applications

The IIT Madras BS in Data Science and Applications is one of the most substantial options in this list because it is a full undergraduate degree rather than a short certification. The programme has a flexible multi-stage structure that allows learners to progress through foundation, diploma, BSc, and BS levels.

The full programme fee is around ₹9.4 lakh, while learners can exit earlier at different academic stages with lower total fees. The programme is designed for students who want a formal degree while building skills in programming, statistics, mathematics, data science, machine learning, and applications.

• Curriculum: Strong foundation in programming, mathematics, statistics, analytics, and data science.
• Practical projects: Assignments and applied coursework are built into the programme.
• Learning model: Online learning with structured assessments and examinations.
• Career value: Strong academic credential from IIT Madras.
• Best for: Students who want a long-term degree rather than a short bootcamp.

The programme can make sense if you are willing to invest several years in building a formal academic foundation. It is less suitable if your only goal is to switch careers within six months.

Why It Matters: A full degree has a different ROI calculation from a bootcamp. You should compare it against the value of the degree, the time required, and your long-term career goals rather than only comparing its price with shorter courses.

2. Scaler Modern Data Science and Machine Learning

Scaler's Modern Data Science and Machine Learning programme is designed more around career transition and practical industry skills. The curriculum includes Python, SQL, machine learning, GenAI, and MLOps, along with mentorship and career support.

The programme generally runs for around 7 to 15 months, depending on the learning path and pace.

• Curriculum: Python, SQL, statistics, machine learning, GenAI, and MLOps.
• Practical projects: Projects and case studies are an important part of the learning model.
• Mentorship: Includes structured mentorship and individual support.
• Career support: Resume preparation, interview preparation, and placement assistance.
• Best for: Career switchers and working professionals looking for a structured programme.

The main advantage is the breadth of the curriculum. You are not learning only data analysis. The programme attempts to connect data science with modern machine learning and AI engineering.

Why It Matters: If you are changing careers, structure and accountability can be more valuable than simply buying a collection of video courses. The real question is whether you will complete the projects and use them to prove your ability.

3. UpGrad PGP in Data Science with IIIT Bangalore

UpGrad's data science programme with IIIT Bangalore is designed primarily for working professionals and graduates who want a structured postgraduate-level learning experience.

Current public comparisons place the fee around ₹2 lakh to ₹3.5 lakh, with a duration of roughly 11 to 12 months. The curriculum covers areas such as Python, SQL, machine learning, NLP, and business analytics.

• Curriculum: Python, SQL, statistics, machine learning, NLP, and analytics.
• Projects: Includes industry-oriented projects.
• Mentorship: Live sessions and mentor support are part of the programme.
• Career support: Career coaching, interview preparation, and hiring support.
• Best for: Graduates and working professionals planning a structured career transition.

The programme's biggest attraction is the combination of an established edtech platform with an IIIT Bangalore credential.

Why It Matters: A university-linked credential can strengthen your profile, but it should not replace practical work. Before enrolling, look at how many projects you will actually complete and whether those projects can become part of your portfolio.

4. Great Learning Post Graduate Programme in Data Science

Great Learning offers several data science programmes, including its Post Graduate Programme in Data Science with university-linked options. Its current programme information highlights practical learning, career support, mentorship, and flexible payment options.

Some current market listings place its programmes around ₹2 lakh to ₹3 lakh, depending on the specific programme and university partnership.

• Curriculum: Data science, statistics, Python, machine learning, and analytics.
• Projects: Practical projects and applied assignments.
• Career support: Resume reviews, interview preparation, and career assistance.
• Learning model: Online and blended options depending on programme.
• Best for: Working professionals who want structured learning.

The important point is that Great Learning has several programmes under the data science category, so you should compare the exact curriculum before paying.

Why It Matters: Do not select a course only because the programme name contains "Data Science." Two courses with the same name can have very different technical depth and career support.

5. Simplilearn Data Science Programmes

Simplilearn offers several data science and analytics programmes, including programmes delivered with university and industry partners. Its current course catalogue includes AI-powered data analytics, data science, machine learning, and related programmes.

Some current programmes are available in the ₹80,000 to ₹2 lakh+ range, depending on the specific certification, university partner, and duration.

• Curriculum: Python, SQL, data analysis, visualisation, machine learning, and AI.
• Projects: Hands-on projects using practical datasets.
• Learning model: Live online and structured learning options.
• Career support: Job assistance, resume support, and interview preparation on selected programmes.
• Best for: Learners who want a guided online learning experience.

Simplilearn can be useful if you prefer a structured cohort rather than completely self-paced learning.

Why It Matters: Career support is useful, but it should not be confused with a guaranteed job. Your actual ROI depends on what you learn, what you build, and how effectively you apply for roles.

6. Jigsaw Academy PG Programme in Data Science and AI

Jigsaw Academy's postgraduate programme in Data Science and AI is another option for learners who want structured training with an academic partnership.

Current comparisons place the programme at around 9 to 10 months, with a focus on data science, machine learning, AI, and cloud analytics.

• Curriculum: Data science, machine learning, AI, and analytics.
• Projects: Industry-oriented projects and case studies.
• Credential: Programme is associated with MAHE.
• Career focus: Designed for professionals looking to upgrade their skills.
• Best for: Working professionals and career switchers.

The programme can be attractive if you want a combination of technical training and an institutional credential.

Why It Matters: A certificate can help you get noticed, but your ability to explain a project during an interview is usually much more important than the certificate itself.

7. Imarticus Learning PG Program in Data Science and Analytics

Imarticus Learning focuses heavily on practical training and job readiness. Its data science and analytics programmes combine machine learning with business analytics and related tools.

Current comparisons place some of its programmes around ₹1 lakh to ₹2 lakh+, depending on the programme and batch.

• Curriculum: Data science, machine learning, analytics, and business intelligence.
• Projects: Practical assignments and industry-style projects.
• Learning model: Online and other structured formats.
• Career support: Job-readiness and placement assistance.
• Best for: Students and early-career professionals.

The programme may be especially useful if you want to connect technical data skills with business applications.

Why It Matters: Data science jobs are not only about building models. You need to understand why a company needs the model and what decision it will help the business make.

8. Learnbay Data Science and AI Programme

Learnbay offers data science and AI programmes with different specialisations and learning options. Its programmes are aimed at professionals and career switchers who want to move into technical data roles.

Current market comparisons place some programmes around ₹1 lakh to ₹2 lakh+, depending on specialisation and programme structure.

• Curriculum: Python, SQL, statistics, machine learning, AI, and specialised domains.
• Projects: Practical projects are included in the learning path.
• Specialisation: Domain-oriented tracks are available.
• Career support: Interview and job assistance.
• Best for: Career switchers looking for a structured technical programme.

The specialisation approach can be useful if you already know the industry you want to work in.

Why It Matters: Domain knowledge can make a major difference in data science. A person who understands both healthcare and machine learning, for example, can solve problems differently from someone who only knows the technical tools.

9. IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate is available through Coursera and is designed as a flexible online programme for learners starting their data science journey.

The course is self-paced and generally costs much less than premium bootcamps, with the exact amount depending on the Coursera subscription and completion time.

• Curriculum: Python, SQL, data analysis, visualisation, machine learning, and data science tools.
• Projects: Practical assignments and projects.
• Learning model: Self-paced online learning.
• Credential: IBM Professional Certificate.
• Best for: Beginners and budget-conscious learners.

This is one of the better choices if you want to test whether data science is right for you before spending several lakh rupees.

Why It Matters: You do not always need to spend ₹2 lakh or ₹3 lakh to start learning data science. If you are disciplined enough to learn independently, lower-cost programmes can give you a strong foundation.

10. PW Skills Data Science Mastery

PW Skills offers lower-cost technology programmes and has a data science learning path covering the fundamentals required by beginners.

Current comparisons place its Data Science Mastery course in the lower-cost category, with a duration of roughly six months.

• Curriculum: Python, statistics, SQL, data analysis, and machine learning.
• Projects: Project-based learning is included.
• Learning model: Online and relatively affordable.
• Career focus: Designed for students and early-career learners.
• Best for: Budget-conscious beginners.

The main attraction is affordability. It allows learners to build foundational skills without making a large financial commitment.

Why It Matters: A lower course fee can improve ROI if you are self-motivated. But you still need to spend time building projects and applying the concepts because watching lectures alone will not make you job-ready.

11. Intellipaat Data Science Master's Programme

Intellipaat offers a Data Science Master's course designed around programming, machine learning, analytics, and practical projects.

Current comparisons list the programme at roughly 8 to 10 months, with multiple projects and career support.

• Curriculum: Python, SQL, statistics, machine learning, deep learning, and analytics.
• Projects: Includes multiple practical projects.
• Learning model: Online structured learning.
• Career support: Job assistance and interview preparation.
• Best for: Beginners and early professionals.

The programme is worth considering if you want a broader curriculum than a basic analytics course.

Why It Matters: Before enrolling, check whether the projects are substantial enough to demonstrate your skills. A project should show the problem, your approach, your analysis, and the final result rather than simply being a classroom exercise.

12. NPTEL and SWAYAM Data Science Courses

If your primary concern is affordability, NPTEL and SWAYAM should be on your shortlist.

These platforms provide courses from Indian academic institutions, including IIT faculty. Many courses are available at very low cost, while certification exams generally involve a separate fee.

• Curriculum: Varies from statistics and Python to machine learning and specialised topics.
• Projects: Depends on the individual course.
• Learning model: Primarily online and self-paced.
• Cost: Often far lower than premium bootcamps.
• Best for: Students and self-directed learners.

The disadvantage is that you will need much more self-discipline. There is usually less career support than in a premium job-oriented programme.

Why It Matters: If you have strong self-learning habits, you can build a surprisingly strong foundation without spending lakhs of rupees. The money you save can instead be invested in projects, certifications, or other career opportunities.

13. Internshala Data Science and AI Programme

Internshala offers career-oriented technology programmes designed for students and early-career professionals. Its data science and AI programme is positioned around practical learning and employability.

Current comparisons place the programme around ₹50,000 to ₹80,000, depending on the offering.

• Curriculum: Data science, Python, machine learning, and AI fundamentals.
• Projects: Practical projects are part of the programme.
• Learning model: Structured online learning.
• Career focus: Designed around employability.
• Best for: Freshers and students.

Internshala can be useful for learners who want an affordable programme with a strong connection to internships and early-career opportunities.

Why It Matters: Freshers should look for programmes that help them create evidence of their ability. A course becomes more valuable when it gives you projects that you can confidently discuss in an interview.

14. IIM Bangalore MBA in Business Analytics

The IIM Bangalore MBA in Business Analytics is a very different proposition from the other programmes in this list. It is a two-year, full-time residential MBA-level programme rather than a short data science course.

For the 2026 to 2028 batch, the published programme fee is ₹26 lakh, excluding certain additional expenses such as taxes and mess advances. The programme includes intensive analytics and mathematical coursework, a summer project, electives, and exposure to management.

• Curriculum: Business analytics, statistics, mathematics, management, and AI-related applications.
• Projects: Includes a summer project and applied academic work.
• Learning model: Full-time residential programme.
• Career value: Combines analytics with management education.
• Best for: Students targeting analytics leadership and management careers.

This should not be compared directly with a six-month online bootcamp because the purpose is completely different.

Why It Matters: ROI depends on the career outcome you want. If you want to become a technical Data Scientist quickly, a two-year MBA may not be the most efficient route. If you want analytics leadership and management, the calculation changes considerably.

15. edX and University-Based Data Science Programmes

edX offers university-backed data science courses and programmes from institutions around the world. These can include professional certificates, advanced programmes, and specialised courses.

Current course comparisons show university-linked data science programmes on edX ranging from roughly ₹80,000 to ₹2 lakh or more, depending on the institution and programme.

• Curriculum: Varies by university and programme.
• Projects: Many programmes include practical assignments.
• Learning model: Flexible and largely online.
• Credential: University-linked certificates for selected programmes.
• Best for: Learners who value academic credentials and flexible learning.

The major benefit is choice. You can select a programme based on the exact topic you want to learn rather than committing to one large bootcamp.

Why It Matters: Online university programmes can be useful for specialised learning, but you should still evaluate the total learning experience. A strong curriculum is valuable only when you actually complete it and use the knowledge in practical work.

Data Science Courses in India: Quick Comparison

These are indicative figures, not fixed prices. The exact fee can change based on batch, scholarship, taxes, financing, university partner, and programme version. Public 2026 comparisons show substantial differences in both price and course structure, which is why comparing the complete programme rather than the advertised headline fee is important.

Which Data Science Course in India Has the Best ROI?

There is no single course with the best ROI for everyone.

If you are a Class 12 student or want a formal degree, IIT Madras can make sense because you are building a recognised undergraduate qualification alongside technical skills.

If you are a working professional, programmes from UpGrad, Great Learning, Scaler, Jigsaw, or similar providers may make more sense because they are shorter and designed around career transitions.

If you are a beginner with a limited budget, IBM's certificate, NPTEL, SWAYAM, and affordable programmes can help you learn the fundamentals before making a larger investment.

If you are targeting analytics leadership, IIM Bangalore's MBA in Business Analytics is a completely different option because it combines analytics with management education.

The important thing is to calculate ROI using more than salary.

Consider:

Course fee + time invested + opportunity cost + actual skills gained + quality of projects + career support + expected career improvement

A ₹3 lakh programme that helps you make a successful career transition may have better ROI than a ₹50,000 programme that you never finish.

Why It Matters: The cheapest course is not automatically the best course. The best ROI comes from a programme that matches your current level, career goal, learning style, and ability to turn the learning into real work.

What Should You Check Before Buying a Data Science Course?

Before paying for any data science course in India, I recommend checking five things carefully.

• Curriculum depth: Make sure the programme covers Python, SQL, statistics, machine learning, data visualisation, and practical applications relevant to your target job.
• Project quality: Ask whether projects use realistic datasets and whether you will build them yourself.
• Career support: Understand exactly what "placement assistance" means instead of assuming it means guaranteed employment.
• Instructor quality: Check who teaches the programme and whether they have relevant industry or academic experience.
• Total cost: Include GST, exam fees, certification fees, financing costs, and other charges before comparing programmes.

You should also ask what happens after the course.

Will you have a portfolio?

Will you have GitHub projects?

Can you explain your models?

Can you demonstrate SQL?

Can you build dashboards?

Can you discuss a machine learning project during an interview?

If the answer to these questions is no, the programme may not be giving you enough practical exposure.

Why It Matters: A data science course should be judged by what you can do after completing it, not simply by the number of videos, certificates, or university logos displayed on the landing page.

How Can You Build a Data Science Portfolio While Taking a Course?

This is where I think many learners make a mistake.

They complete a course first and plan to build a portfolio later.

I would do the opposite.

Start documenting your work while learning.

For every serious project, explain:

What was the problem?

What dataset did you use?

How did you clean the data?

What analysis did you perform?

Which model did you choose?

Why did you choose it?

How did you evaluate it?

What did you learn?

This approach turns coursework into actual career evidence.

How to build a career portfolio that actually gets jobs explains the broader process of selecting strong projects and presenting them in a way that hiring teams can understand.

For data science specifically, your portfolio could contain a customer churn prediction project, a sales forecasting model, an NLP project, an exploratory data analysis project, and a dashboard.

You do not need 20 projects.

You need projects that show different capabilities.

Why It Matters: Certificates show that you completed learning. Projects show what you can actually do with that learning. The second is much easier for a hiring manager to evaluate.

How Does This Connect to Building a Strong Career or Portfolio?

Data science is a field where proof of work can be particularly useful because your output can be demonstrated clearly.

A resume might say:

"Completed a Data Science certification and know Python, SQL and Machine Learning."

A portfolio can show:

Dataset → Problem → Analysis → Model → Evaluation → Business Insight

That gives the employer something concrete to discuss.

At Fueler, I believe this is increasingly important across technical careers. A data scientist, analyst, developer, designer, or marketer should be able to show evidence of what they have actually done.

Why every professional needs a career portfolio explains why portfolios are no longer limited to designers and other creative professionals. Data analysts and data scientists can use dashboards, notebooks, models, research, and case studies as proof of their capabilities.

If you already have work experience, you do not need to start from zero. You can turn previous projects into case studies using a clear problem, action, and result structure. How to turn your work experience into a powerful career portfolio can help you structure that work.

You can also build a proof-of-work portfolio with Fueler and use your projects as evidence when applying for internships, jobs, freelance opportunities, and assignments.

The goal is simple.

Do not just prove that you studied data science.

Prove that you can use data science to solve problems.

Final Thoughts

The best data science courses in India in 2026 are not necessarily the most expensive ones.

The right programme depends on where you are starting, where you want to go, how much time you have, and how much money you are willing to invest.

If you want a formal degree, IIT Madras offers a very different value proposition from a short bootcamp.

If you are a working professional, a 9 to 12-month programme may be more practical.

If you are unsure whether data science is right for you, a low-cost programme from IBM, NPTEL, SWAYAM, or another affordable platform can help you test the field before making a large investment.

If your goal is analytics leadership, a programme such as IIM Bangalore's MBA in Business Analytics is a much broader career decision than simply learning Python and machine learning.

But regardless of which course you choose, there is one thing I would strongly recommend.

Do not let the certificate become the final product.

The final product should be your ability.

Build projects.

Analyse real datasets.

Write SQL.

Create dashboards.

Train models.

Evaluate results.

Explain your decisions.

Document your work.

And build a portfolio that shows what you can actually do.

The data science job market is competitive, and completing another course does not automatically make you employable.

Your ability to solve problems does.

Your ability to explain your thinking does.

Your ability to work with real data does.

And your ability to demonstrate that work gives employers something concrete to trust.

That is the difference between learning data science and building a data science career.

Frequently Asked Questions

Which are the best data science courses in India in 2026?

Some strong options include IIT Madras BS in Data Science and Applications, Scaler's Modern Data Science programme, UpGrad's data science programme with IIIT Bangalore, Great Learning, Simplilearn, Jigsaw Academy, Imarticus Learning, Learnbay, IBM's Data Science Professional Certificate, and NPTEL or SWAYAM courses. The best choice depends on your education, budget, experience, and career goal.

What is the average fee for a data science course in India?

Fees vary from almost free or very low-cost university courses to more than ₹9 lakh for a full degree. Many career-focused online programmes fall roughly between ₹50,000 and ₹3.5 lakh, while premium university programmes and full degrees can cost considerably more.

Which data science course is best for freshers in India?

Freshers should look for a programme that teaches Python, SQL, statistics, machine learning, data visualisation, and practical projects. Affordable programmes such as IBM's Professional Certificate, NPTEL, SWAYAM, and structured beginner programmes can be good starting points. If you want a formal degree, IIT Madras is a much longer-term option.

Are data science courses worth the money in 2026?

They can be worth the investment if the course gives you strong fundamentals, practical projects, mentorship, and useful career support. However, paying for a course does not guarantee a job. Your ROI depends heavily on whether you complete the programme, build practical projects, develop interview skills, and demonstrate your ability to solve real problems.

How can I get a data science job after completing a course?

Do not stop at the certificate. Build three to five strong projects covering areas such as SQL analysis, exploratory data analysis, dashboards, machine learning, forecasting, or NLP. Document the problem, data, approach, results, and business insight in a data science portfolio. Then use those projects when applying for jobs and discussing your skills during interviews.

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