Data Science GATE Cutoff: Branch-Wise Ranks, Top Colleges & Admission Trends

M.Tech Data Science admissions through the GATE Data Science cutoff saw the qualifying marks for the General category set at 26.4 in 2026. The data science GATE cutoff is the minimum score required to pass the examination, with admission cutoffs for top institutes like IITs and NITs typically ranging significantly higher, often above a GATE score of 600-750 for competitive programs. The 2026 GATE results were announced on March 19, 2026, with subsequent counselling processes like CCMT for NITs commencing in May 2026.

Key Dates for GATE 2026 Examination

The Graduate Aptitude Test in Engineering (GATE) 2026 examination schedule, including registration, admit card release, and result announcement, is outlined below.

GATE Data Science 2026 Qualifying Cutoffs by Category

The official qualifying cutoffs for the GATE Data Science and Artificial Intelligence (DA) paper for 2026 have been released, indicating the minimum marks required to clear the examination across different categories.

M.Tech Data Science Admission Cutoffs: Top Institutes (2025-2026)

Admission to M.Tech Data Science programs at premier institutions like IITs and NITs requires scores significantly higher than the qualifying cutoff. The following table provides insights into expected safe scores for 2026 and actual admission cutoffs from 2025 for various institutes.

CCMT 2026 Counselling Timeline for M.Tech Admissions

The Centralized Counselling for M.Tech/M.Arch/M.Plan (CCMT) 2026 provides a unified platform for admissions to NITs, IIITs, and other Centrally Funded Technical Institutions (CFTIs) based on GATE scores.

GATE Data Science Qualifying Cutoff Trends (2024-2026)

The Data Science and Artificial Intelligence (DA) paper was introduced in GATE 2024, and its qualifying cutoffs have shown initial trends across categories.

FAQs

Q: What is considered a good GATE Data Science score for admission to IITs?

A. A GATE score above 750 is generally considered a safe score for M.Tech Data Science admissions in top IITs like IIT Bombay or IIT Delhi. For other IITs and top NITs, a score between 650-750 is often considered good.

Q: What is the difference between GATE qualifying cutoff and admission cutoff?

A. The GATE qualifying cutoff is the minimum score required to pass the GATE examination and receive a scorecard. The admission cutoff, on the other hand, is the minimum score required by individual institutes (like IITs or NITs) for admission to their specific M.Tech programs, which is typically much higher than the qualifying cutoff.

Q: Which institutes accept GATE DA scores for M.Tech Data Science programs?

A. Many prominent institutions, including various IITs, NITs, IIITs, and other Centrally Funded Technical Institutions (CFTIs), accept GATE DA scores for admission to their M.Tech programs in Data Science and Artificial Intelligence. Admissions are often facilitated through centralized counselling processes like CCMT and COAP.

Q: Was the GATE Data Science and Artificial Intelligence (DA) paper recently introduced?

A. Yes, the GATE Data Science and Artificial Intelligence (DA) paper was a new addition to the GATE examination, introduced in 2024. This new paper caters specifically to the growing demand for expertise in these fields.

Q: What are the general eligibility criteria for M.Tech Data Science admissions through GATE?

A. Typically, candidates must hold a Bachelor’s degree in Engineering or a Master’s degree in Science from a recognized institution with a minimum aggregate of 60% marks or 6.5 CGPA (55% or 6.0 CGPA for SC/ST/PwD candidates). A valid GATE score in the relevant paper (like DA) is also mandatory for regular candidates.

Q: When does CCMT 2026 counselling begin for M.Tech admissions?

A. The CCMT 2026 counselling process for M.Tech admissions, based on GATE scores, commenced with online registrations starting on May 15, 2026. Subsequent rounds for choice filling, seat allotment, and document verification will follow through June and July 2026.

Written by Nishit Kumar

Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms. He was instrumental in building Collegedunia from the ground up, shaping its product, content, and growth strategy. At FindMyCollege, Nishit oversees content and editorial strategy, guiding topic selection, content frameworks to ensure accuracy, relevance, and student-first value across the website.

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