PG · 2 yrs

M.Tech — Data Science & AI

A postgraduate engineering degree in data science, analytics and ML systems — the deep-tech route into data-science and ML-engineering careers.

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Duration2 years
EligibilityB.E./B.Tech / M.Sc (maths, statistics, CS or allied) + a valid GATE score (DA / CS / MA) for funded seats
Typical fees₹0.2–1 L total (GATE-funded govt) · ₹2–4.5 L (private)
Colleges11

Course overview

M.Tech in Data Science (also offered as Computational & Data Science or Data Analytics) is a 2-year postgraduate engineering degree that blends statistics, large-scale computing and machine learning to turn data into decisions. India runs it at institutes like IISc (Computational & Data Science), IIT Madras, IIT Roorkee/Guwahati and BITS — the deep-tech route into data-science, ML-engineering and analytics-leadership careers.

Is M.Tech — Data Science & AI right for you?

✅ Choose it if you…

enjoy statistics and programming and want to build data and ML systems at depth, not just use dashboards.

⚠️ Reconsider if you…

want a quick analytics certificate or dislike heavy maths and coding.

Eligibility & entrance exams

Eligibility: B.E./B.Tech / M.Sc (maths, statistics, CS or allied) + a valid GATE score (DA / CS / MA) for funded seats.

Entrance exams

GATE (DA / CS / MA) → IISc, IITs, NITs (funded M.Tech + stipend)Institute interviews → IISc CDS, IIT data-science schoolsCUET-PG → central universitiesInstitute tests → BITS, IIITs, private universities

What you’ll study

Year 1 — Foundations

Probability & statistics, machine learning, data structures for big data, optimisation, plus data-engineering labs.

Year 2 — Specialise & thesis

Advanced ML, big-data systems, deep learning electives and a year-long data-science thesis or capstone.

Core subjects covered

Probability & StatisticsMachine LearningBig Data SystemsData EngineeringOptimisationDeep LearningData VisualisationExperiment Design & Causal Inference

Popular specialisations

Machine Learning at ScaleTraining and serving models on large data — leads to ML-engineering roles.
Big Data & Data EngineeringPipelines, warehouses and streaming — leads to data-engineering roles.
Statistical ModellingInference and causal analysis — leads to data-science and research roles.
Business AnalyticsDecision science for industry — leads to analytics-leadership roles.

Admission process

1 · Appear for GATEScore in GATE (DA / CS / MA) for funded data-science seats at IISc, IITs and NITs.
2 · Apply to institutesApply via COAP / institute portals to data-science departments.
3 · Interview / testTop institutes shortlist via written tests and interviews.
4 · Counselling & seatAccept the offer through centralised counselling or the institute.
5 · Enrol & pick specialisationRegister and choose your data-science track and thesis guide.

🗓️ Indicative cycle: GATE registration Aug–Sep, exam Feb, results Mar; COAP / institute admissions Apr–Jul. Confirm exact dates on each institute’s official site.

Duration & fees

Duration: 2 years, full-time.

Institute typeIndicative feesExamples
Govt institutes (GATE + stipend)₹0.2–1 L totalIISc, IITs, NITs — low fees plus ~₹12,400/month stipend
IIITs & reputed public₹1.5–3 L totalIIITs, top state technical universities
Private universities₹2–4.5 L totalBITS Pilani, MIT-WPU and other private deemed universities

📋 Source: official institute fee structures (2024–25). Indicative; confirm with the institute.

Career outcomes & salary

RoleIndicative fresher CTC market
Data Scientist₹9–24 L
Machine-Learning Engineer₹10–26 L
Data Engineer₹8–20 L
Analytics Lead₹12–28 L
Quantitative Analyst₹10–30 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

GoogleMicrosoftAmazonWalmart Global TechFlipkartFractalTiger AnalyticsMu SigmaIBMAmerican Expressbanks & fintechsIISc/IITs (research)

📋 Source: companies reported by institute placement cells (2024). Recruiters vary by college & year.

Scholarships & funding

MHRD / AICTE GATE stipend~₹12,400/month assistantship for GATE-qualified M.Tech students at govt institutes.
Institute research assistantshipsAdditional stipend for teaching/research assistance at IISc/IITs/NITs.
Industry-sponsored fellowshipsCompany-funded data-science fellowships at select institutes.
PMRF (for PhD progression)Prime Minister’s Research Fellowship for outstanding students continuing to a PhD.

Scope & future

M.Tech Data Science opens data-science, ML-engineering and analytics-leadership careers across virtually every sector, with the strongest value from top, GATE-funded institutes. From lower-tier colleges the edge over a strong B.Tech-plus-skills path narrows. It suits those who want genuine depth in statistics, computing and machine learning.

📈 Every sector in India is investing in data and AI, keeping demand for skilled data-science talent high — graduates of a deep M.Tech command a premium over short-certificate analysts. Returns track institute tier and genuine skill; salary figures are indicative market ranges and vary by employer and experience.

Source: MeitY · IndiaAI Mission

Where this degree can take you next

Higher studiesPhD in data science / ML, advanced research specialisation.
IndustryData science, ML engineering, data engineering and analytics leadership.
Emerging fieldsGenerative AI, MLOps, decision science and causal AI.
Government & researchPublic-data, policy-analytics and research-institute roles.
Global pathwaysData-science roles and PhD programmes abroad.

Top colleges offering M.Tech — Data Science & AI

11 colleges · ranked by NIRF

*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).

M.Tech Data Science vs PG / online data-science programmes

M.Tech Data SciencePG / online programme
DepthResearch-grade, thesis-basedApplied, tool-focused
Best forML-engineering & research rolesfast career pivot for working pros
Cost / timeLow (if GATE-funded), 2 yrsHigher fee, ~1 yr, flexible

Frequently asked questions

What is the eligibility for M.Tech — Data Science & AI?

B.E./B.Tech / M.Sc (maths, statistics, CS or allied) + a valid GATE score (DA / CS / MA) for funded seats.

What is the fee for M.Tech — Data Science & AI?

Indicative fees are ₹0.2–1 L total (GATE-funded govt) · ₹2–4.5 L (private). Always confirm the current fee with the institute.

How long is M.Tech — Data Science & AI?

2 years.

What can I do after M.Tech — Data Science & AI?

Common paths include Data Scientist, Machine-Learning Engineer, Data Engineer, Analytics Lead.

Which colleges offer M.Tech — Data Science & AI?

11 colleges in our list offer it, including Indian Institute of Technology Madras, Indian Institute of Science, Bangalore, Indian Institute of Technology Delhi.

Interested in admission?

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📋 Sources & data vintage

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 M.Tech — Data Science & AI 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 M.Tech — Data Science & AI 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.