NIT Kurukshetra GATE CE Cutoff 2027: Category-Wise Previous Year Trends and Scores
GATE 2027 is scheduled to take place in February and students looking for admission in M.Tech at NIT Kurukshetra in Computer Engineering can get 2027 Expected Scores with previous year cutoffs and trend in this article.
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National Institute of Technology (NIT) Kurukshetra is recognised as an Institute of Nation Importance (INI) and is considered one of the premier NIT’s in North India. M.Tech admissions for regular GATE candidates are handled centrally by Centralised Counselling (CCMT). Candidates can find Round 1 expected GATE scores for Computer Engineering branch for various categories in NIT Kurukshetra and previous year cutoffs in details below.
Check | NIT Calicut GATE CSE Cutoff 2027: Category-Wise Previous Year Trends and Expected Scores
GATE 2027 : Overview
Candidates appearing for GATE 2027 can check all the important exam details in the overview below.
| Exam Name | Graduate Aptitude Test in Engineering (GATE 2027) |
| Organizing Institute | Indian Institute of Technology (IIT) Madras |
| Mode of Exam | Computer-Based Test (CBT) |
| Number of Test Papers | 30 papers (includes Robotics and Automation - RA paper) |
| Number of Attempts | Candidates can appear for 1 or up to 2 test paper combinations. |
| Eligibility Criteria | Currently in 3rd year or higher of any UG degree program (B.E./B.Tech/B.Arch/B.Sc/M.Sc) or completed degree. No upper age limit. |
| Application Fee (Per Paper) | Female / SC / ST / PwD: ₹1,000 (Regular) / ₹1,500 (Late) All Other Candidates: ₹2,000 (Regular) / ₹2,500 (Late) |
| Exam City Intimation | January 4, 2027 |
| Exam Dates | February 6, 7, 13, 14, 20, and 21, 2027 (spread across three weekends in forenoon & afternoon sessions) |
| Result Declaration Date | March 19, 2027 |
| Scorecard Validity | 3 Years from the result declaration date (valid for M.Tech/Ph.D admissions & PSU recruitments) |
| Official Website | gate2027.iitm.ac.in |
NIT Kurukshetra GATE CE Cutoff 2027: Expected Round 1 Scores
NIT Kurukshetra expected round 1 scores for Computer Engineering in the general category is estimated to range from 625-660. Candidates can check the detailed list for various categories below.
| Group | Category | Expected Max GATE Score 2027 | Expected Min GATE Score 2027 |
| G1 | OPEN | 660 | 625 |
| G1 | EWS | 625 | 605 |
| G1 | OBC-NCL | 625 | 600 |
| G1 | SC | 490 | 465 |
| G1 | ST | 380 | 350 |
NIT Kurukshetra GATE CE Cutoff 2027: Previous Year Scores
The scores to get enrolled for M.Tech in NIT Kurukshetra for Computer Engineering in 2026 was in the range between 625 - 644 for general category.
Candidates can check the detailed previous year scores for various categories below.
| Group | Category | Max GATE Score | Min GATE Score |
| G1 | OPEN | 644 | 625 |
| G1 | OBC-NCL | 621 | 602 |
| G1 | EWS | 621 | 621 |
| G1 | SC | 484 | 461 |
| G1 | ST | 373 | 346 |
NIT Kurukshetra GATE CE Cutoff 2027: 2025 Scores
GATE 2025 scores for NIT Kurukshetra ranged between 628 - 664 for general category for admission in M.Tech Computer Engineering. Candidates can check the detailed list below.
| Group | Category | Max GATE Score | Min GATE Score |
| G1 | OPEN | 664 | 628 |
| G1 | OBC-NCL | 622 | 595 |
| G1 | EWS | 608 | 598 |
| G1 | SC | 489 | 468 |
| G1 | ST | 327 | 310 |
NIT Kurukshetra GATE CE Cutoff 2027: Previous Years Max Scores
Students looking to get admission in M.Tech at NIT Kurukshetra can check these max scores for Computer Engineering from previous years to get a better understanding of the process.
| Group | Category | Max GATE Score 2024 | Max GATE Score 2025 | Max GATE Score 2026 |
| G1 | OPEN | 704 | 664 | 644 |
| G1 | EWS | 591 | 622 | 621 |
| G1 | OBC-NCL | 577 | 608 | 621 |
| G1 | SC | 474 | 489 | 484 |
| G1 | ST | 346 | 327 | 373 |
Vikrant Kumar is a Senior Executive – Data & Research, specialising in data-driven content analysis and editorial research. He works with large datasets to identify trends, patterns, insights, and emerging developments across key subjects and converts these findings into clear, engaging, and informative content. His role combines data analysis with editorial storytelling, using tools and research methodologies to support fact-based articles, reports, rankings, and analytical content. He focuses on turning complex data into meaningful insights that can strengthen content quality and help readers understand important trends and developments.
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