#1
Fee₹2,80,000 / yr
Median*₹19.6 L
Seats80
Professional · 1 yr
PG Programme in Data Science
Applied analytics, ML and AI for professionals pivoting into data roles.
Duration1–2 years (M.Sc 2 yrs; PG diploma / professional ~11–12 months)
EligibilityBachelor’s with a quantitative component (maths/stats/engineering/CS preferred); some professional programmes accept any graduate with basic maths
Typical fees₹50,000–₹6 L total
Colleges7
Course overview
An applied postgraduate programme — offered as an M.Sc, PG diploma or professional certificate — that trains you in statistics, programming, machine learning and data engineering to solve real business problems. Aimed at graduates and working professionals, it is hands-on and tool-heavy (Python, SQL, cloud, ML frameworks) rather than purely theoretical. The best programmes are built around projects, case studies and a capstone with real data.
Is PG Programme in Data Science right for you?
✅ Choose it if you…
enjoy coding and statistics and want to turn messy data into models and decisions, whether as a fresh graduate or an upskilling professional.
⚠️ Reconsider if you…
you dislike programming and mathematics, or want a stable non-technical role — data science is demanding and constantly changing.
Eligibility & entrance exams
Eligibility: Bachelor’s with a quantitative component (maths/stats/engineering/CS preferred); some professional programmes accept any graduate with basic maths.
Entrance exams
CUET-PG → university M.Sc programmesIIT JAM → some statistics/data M.Sc routesGATE (Data Science & AI) → M.Tech/funded routesInstitute-specific tests & interviewsOnline programme screening → profile + test
What you’ll study
Stage 1
Foundations — statistics, probability, Python/R programming, SQL and data wrangling.
Stage 2
Core machine learning — supervised and unsupervised methods, model evaluation and feature engineering.
Stage 3
Advanced topics — deep learning, NLP, big-data tools, cloud and MLOps, plus an elective track.
Stage 4
Capstone project on a real-world dataset, plus deployment, visualisation and communication of results.
Core subjects covered
Statistics & ProbabilityPython / R ProgrammingMachine LearningDeep LearningData Engineering & Big DataSQL & DatabasesData VisualisationMLOps & Model Deployment
Popular specialisations
Machine Learning & AIBuilding and tuning predictive models — the core data-science skill set.
Deep Learning & NLPNeural networks and language models powering modern AI products.
Business / Decision AnalyticsTurning data into business decisions, ideal for less code-heavy roles.
Big Data EngineeringPipelines, distributed systems and cloud for data at scale.
Computer VisionImage and video models for automation, inspection and analytics.
Admission process
1 · Pick the right formatDecide between a full M.Sc, a PG diploma or a professional/online programme by your goals and background.
2 · Meet prerequisitesEnsure basic maths/stats and programming readiness; clear any entrance test.
3 · Apply with profileSubmit application, transcripts and (for professional programmes) work profile or screening test.
4 · Interview / screeningSome programmes add an interview or aptitude round before offers.
5 · Enrol & onboardPay fees, complete pre-course material and begin the programme.
🗓️ University M.Sc admissions follow CUET-PG cycles (tests Mar–May, intake Jul–Aug); professional and online programmes run multiple cohorts through the year.
Duration & fees
Duration: 1–2 years (M.Sc 2 yrs; PG diploma / professional ~11–12 months), full-time.
| Institute type | Indicative fees | Examples |
|---|---|---|
| University M.Sc / PG diploma | ₹50,000–₹1.5 L total | state & central university data-science M.Sc |
| Professional / online PG | ₹1.5–₹3.5 L total | institute-backed online PG programmes |
| Premier institute executive | ₹3–₹6 L+ total | IIT/IIM-linked advanced data-science programmes |
📋 Source: official institute fee structures (2024–25). Indicative; confirm with the institute.
Career outcomes & salary
| Role | Indicative fresher CTC market |
|---|---|
| Data Analyst (entry) | ₹4–8 L |
| Data Scientist (entry–mid) | ₹8–16 L |
| Machine Learning Engineer | ₹10–20 L |
| Data Engineer | ₹8–18 L |
| Senior Data Scientist | ₹18–30 L+ |
📋 Source: indicative market ranges (AmbitionBox, Glassdoor, 2026) — not official figures. Official institute placement averages are shown on each college below. Actual outcomes vary by college, skills & year.
Top recruiters
Amazon / FlipkartMicrosoft / GoogleTCS / Infosys / WiproAccenture / CognizantFractal / Mu Sigma / Tiger AnalyticsDeloitte / EY / KPMG / PwCWalmart / Swiggy / ZomatoBanks & fintechsPhonePe / Paytm / RazorpayHealthcare & pharma analyticsProduct startups & unicornsConsulting & analytics services
📋 Source: companies reported by institute placement cells (2024). Recruiters vary by college & year.
Scholarships & funding
Institute merit / early-bird waiversProfessional programmes offer fee discounts for merit and early enrolment.
Post-Matric & merit scholarshipsGovernment schemes for SC/ST/OBC/EWS and high-merit students on degree routes.
Women-in-tech / diversity scholarshipsTargeted grants from institutes and ed-tech partners to widen access.
Income-share & loan optionsEMI, loan tie-ups and deferred-payment plans common in professional programmes.
Scope & future
Data science remains one of India’s highest-demand skill areas, but the field has matured — employers now want demonstrable project work, strong fundamentals and the ability to ship, not just certificates. A programme is worth it when it is genuinely hands-on and you build a real portfolio.
📈 Industry and government skilling reports consistently rank data science, AI and analytics among the fastest-growing job families in India, with demand for skilled talent continuing to outpace supply.
Source: NASSCOM · MSDEWhere this degree can take you next
Higher studiesM.Tech/MS or PhD in AI, data science or statistics for research and senior roles.
Industry growthAnalyst → data scientist → ML engineer → analytics leadership.
Emerging fieldsGenerative AI, MLOps, computer vision and responsible-AI specialisations.
Government & public dataRoles in public-sector analytics, statistics services and govtech.
Global & remote workData roles for international firms, increasingly available remotely from India.
Top colleges offering PG Programme in Data Science
7 colleges · ranked by NIRF
#2
Fee₹9,00,000 (total)
Median*—
#3
Fee₹3,20,000 / yr
Median*₹20.0 L
Seats60
#4
Median*₹19.61 L
#5
Fee₹10.77 L (total)
Median*₹23.0 L
#6
Fee₹1,80,000 / yr
Median*—
Seats60
#7
Fee₹3,00,000 / yr
Median*—
Seats60
*Median = institute-level NIRF median salary (official — institutes publish median, not average), where branch-specific data isn’t published. Fees from official institute structures (2024–25).
PG Data Science vs M.Tech (AI)
| PG Data Science | M.Tech AI | |
|---|---|---|
| Nature | Applied analytics & ML for industry | In-depth engineering & research in AI |
| Audience | Graduates & working professionals | Engineering graduates (GATE route) |
| Outcome | Faster industry entry / upskilling | Deeper R&D and core-AI roles |
Frequently asked questions
What is the eligibility for a PG Diploma in Data Science?
Most programmes require a bachelor's degree with roughly 50-60% marks, often in a quantitative field like maths, statistics, computer science or engineering. Some accept any graduate who studied maths at 10+2 level. Check the specific institute's criteria.
How long is a PG Data Science course and what does it cover?
PG diplomas typically run six months to one year, with some part-time formats up to two years. They cover statistics, Python/R, machine learning, data visualisation and tools like SQL, aimed at rapid, job-focused specialisation.
What are the fees for a PG Data Science programme?
Fees commonly range from about ₹50,000 to ₹3 lakh depending on the institute and format. Some university diplomas cost under ₹80,000, while premier institutes charge more. Always confirm the current fee directly with the provider.
What salary can a data scientist expect in India?
Reported figures vary by source and experience. The national average for a data scientist is often cited around ₹6-7 LPA, with stronger programmes reporting higher averages. Freshers usually start lower; treat headline numbers as indicative, not guaranteed.
Is a PG diploma or a full degree better for data science?
A PG diploma is faster and cheaper and suits career-switchers or working professionals wanting job-ready skills. A full master's degree gives deeper theory and research paths. The right choice depends on your background, time and goals.
Do I need coding experience before joining?
Not always, but a maths, statistics or programming background helps. Many programmes teach Python from basics, yet comfort with logic and quantitative thinking makes the machine-learning portions much easier to follow.
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📋 Sources & data vintage
- Fees: official institute fee structures (2024–25).
- College placements (avg / highest): NIRF 2024 & institute placement reports.
- Role-wise salary ranges: indicative market estimates — AmbitionBox, Glassdoor (2026). Not official.
- Eligibility & approvals: UGC · AICTE · official college websites.
Figures above are drawn from the official releases listed — they are indicative, not quotations. Official data typically runs 1–2 years behind the current admission cycle; that is the publishing rhythm of the source, not an omission here. CourseLane is a data reference point, not the issuing authority — for the fee, seat or placement figure that applies to you, please contact the institute's admission or placement cell directly.
Verify against: UGC·AICTE·NIRF · the institute's official website
Is PG Programme in Data Science the best-fit for you?
Treat everything above as a starting point rather than a verdict. What decides it is what you want the qualification to do — the fee you can commit to, the place you can move to, and the outcome you are actually after. Where a figure here is blank, it is blank because we could not source it officially, and we would rather show you the gap than fill it with a guess. Weigh PG Programme in Data Science against your own shortlist and decide whether it is the best-fit for you.
Disclaimer. Course details, fees, eligibility, salary and career information on this page are for general reference only, and may vary by location, institution, company, experience and market conditions. Figures are indicative and are not a guarantee of admission, employment or earnings — always verify with the official institution before deciding. CourseLane is an independent information platform and shall not be responsible for any decision made based on the information on this page.
Written by the CourseLane Research Team · reviewed by a senior counsellor · Last updated June 2026.