GATE 2026 CS, DA expected cutoffs: IITs, NITs, PSUs admissions analysis

Engineering students and GATE aspirants across India are evaluating their prospects for admission to Indian Institutes of Technology (IITs), National Institutes of Technology (NITs), and Public Sector Undertakings (PSUs) following the GATE 2026 examinations. Today, 29 October 2026, analysis indicates the expected cutoffs for both the Computer Science (CS) and the newly specialized Data Science and Artificial Intelligence (DA) papers.

The GATE exam serves as a crucial gateway for thousands of students aiming for postgraduate studies and employment opportunities. The GATE 2026 CS exam is anticipated to have moderate difficulty, suggesting stable cutoffs, while the GATE DA 2026 exam, concluded on February 15, presented a moderate to slightly tough challenge, particularly due to its math-dominant and lengthy calculation focus.

GATE 2026 Cs Expected Cutoffs and Admission Prospects

For the GATE 2026 CS paper, a score of 750 or more, corresponding to 65-70 marks, is considered a safe score for securing admission to an IIT. Top IITs generally require a score exceeding 700, while good NITs may offer admission opportunities for scores above 600. Securing positions in top PSUs typically demands a higher score, ranging from 750 to 800 or more. The competition in GATE CS is noted to be increasing annually.

The expected qualifying cutoffs for GATE 2026 CS vary by category. For the General category, the cutoff is projected to be between 27 and 30 marks. OBC/EWS candidates can expect a cutoff of 24-27 marks, and SC/ST candidates 18-21 marks. For admission to the top 5 IITs in Computer Science, candidates are generally expected to achieve 65 or more marks. Some IITs may also conduct interviews as part of their admission process for GATE CS. Within Computer Science, AI/ML specialization consistently shows the highest cutoff trends, with seats filling rapidly, reflecting India’s growing AI market, which is projected to exceed $17 billion by 2027.

GATE Da 2026 Exam Analysis and Cutoff Predictions

The GATE DA 2026 exam, a specialized entrance for M.Tech/M.S./Ph.D. admissions in Data Science and AI, was conducted on February 15, 2026, in the afternoon shift. The paper’s overall difficulty was assessed as moderate to slightly tough, characterized by a strong emphasis on mathematics and probability, lengthy calculations, and a high number of Numerical Answer Type (NAT) and Multi-Select Questions (MSQ). Approximately 20,000 to 30,000 students appeared for the GATE DA 2026 exam.

Section-wise, the General Aptitude portion was considered easy. However, the Probability & Statistics section was tough, featuring heavy NATs and inference questions. The Machine Learning & Optimization section was moderate-to-tough, with tricky algorithms and gradient variants. DBMS & Data Structures was moderate, including some tricky SQL and lengthy questions, while AI & Deep Learning was moderate, focusing on conceptual questions with fewer numerical problems. Linear Algebra & Calculus was moderate-to-tough, with a significant presence of SVD and convexity-heavy questions. A slight increase in qualifying cutoffs for GATE DA 2026 is anticipated due to the math/prob/stats focus, lengthy NATs/MSQs, and the growing popularity of the Data Science and AI branch. Normalization will be applied to the scores. Actual qualifying cutoffs for GATE DA 2026 are expected to be released in mid-March 2026, with admissions via COAP/CCMT scheduled from April to June 2026.

Comparison with Previous GATE Cycles

The GATE 2026 CS exam is expected to maintain stable cutoffs, aligning with a moderate difficulty trend observed in 2023. This contrasts with 2024, which saw a tougher paper and lower cutoffs, and 2025, which had an easier paper and higher cutoffs. The GATE 2025 cutoff for Computer Science and Information Technology (CS) for the General category was 29.2 marks, while for GATE 2024, it was 27.6 marks. For Data Science and Artificial Intelligence (DA), the GATE 2025 cutoff for the General category was 29 marks, a decrease from 37.1 marks in GATE 2024.

Historical data from GATE 2022 shows IIT Bombay‘s Computer Science and Engineering cutoff for the General category at 750. IIT Delhi‘s Computer Science & Engineering (MCS) had a direct admission cutoff of 900 for General candidates, with an interview shortlisting cutoff of 790. These figures underscore the competitive nature of admissions to top institutions. The number of candidates appearing for GATE has fluctuated, with 747,319 candidates appearing in 2025 and 653,292 in 2024 across all papers.

Next Steps for GATE Aspirants

With the GATE 2026 exams concluded, aspirants are advised to estimate their scores using unofficial answer keys and raise objections if necessary during the challenge window in February 2026. Following this, candidates should begin shortlisting more than 15 institutes based on their estimated scores and prepare necessary documentation for COAP/CCMT rounds, including Statements of Purpose (SOPs). Building a portfolio with projects on platforms like Kaggle and GitHub is also recommended, particularly for those targeting Data Science and AI specializations. Final results, including scores, ranks, and official cutoffs, are expected in mid-March 2026.

Further reading

• GATE 2027 DigiLocker registration scrutiny ongoing, correction window closes October 31
• GATE 2026 cutoff for Civil Engineering released by IIT Guwahati: check qualifying marks and trends
• NTA revised exam calendar 2026-27 out: check new JEE Main, UGC NET, CUET PG dates
• NEET PG 2026: Register for Round 2 by November 11; fill choices by November 12
• BTech CSE 2026: Apply now; meet 10+2 (60% Gen/55% Other) & JEE Main/UU exam Applications open
• GATE: complete exam guide

Written by Nishit Kumar

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

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