SRM Institute of Science and Technology (SRMIST)
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CSE at SRM’s main Kattankulathur campus closed at rank 9,000 in 2025. That was the official final cutoff, not a projection. Within the top 10,000, nearly two-thirds of candidates lock KTR CSE as their first choice during counselling. Competition hasn’t slackened. If you’re targeting that seat in 2026, your rank has to be inside the top 10,000 - and the tighter you are to 9,000, the stronger your grip.
This page gives you expected closing ranks branch-by-branch, campus-by-campus, backed by 2024 final allotment data, the 2025 official closing figures, and 2026 counselling trends. It also explains why category-wise cutoffs don’t exist as a separate list - and how reservation actually works during seat allotment. Use it as your planning grid before you fill a single choice in counselling.
These ranges blend the official 2025 closing rank of 9,000 for CSE, round-wise 2024 final allotments, and the demand patterns visible across Phase-1 counselling this year. All ranks refer to the All India Merit Rank assigned after normalisation.
| Branch | Expected Closing Rank 2026 |
|---|---|
| Computer Science & Engineering (CSE) | 9,000 - 10,500 |
| CSE - Artificial Intelligence & Machine Learning | 10,000 - 12,000 |
| CSE - Data Science | 12,000 - 14,000 |
| CSE - Cyber Security | 11,500 - 13,000 |
| CSE - Cloud Computing | 13,000 - 15,000 |
| CSE - Software Engineering | 13,000 - 15,500 |
| CSE - Big Data Analytics | 13,500 - 16,000 |
| CSE - Blockchain Technology | 15,000 - 18,000 |
| CSE - Internet of Things (IoT) | 15,000 - 18,000 |
| CSE - Computer Networking | 16,000 - 18,500 |
| CSE - Gaming Technology | 16,000 - 18,500 |
| CSE & Business Systems (in partnership with TCS) | 14,000 - 17,000 |
| Artificial Intelligence (standalone) | 12,000 - 14,500 |
| Information Technology (IT) | 11,000 - 12,500 |
| Electronics & Communication Engineering (ECE) | 26,500 - 28,000 |
| Electrical & Electronics Engineering (EEE) | 38,000 - 40,000 |
| Mechanical Engineering | 30,000 - 35,000 |
| Civil Engineering | 60,000 - 70,000 |
| Aerospace Engineering | 51,500 - 53,000 |
| Automobile Engineering | 54,000 - 56,000 |
| Biomedical Engineering | 53,000 - 54,500 |
| Biotechnology Engineering | 47,500 - 48,000 |
| Chemical Engineering | 69,000 - 70,000 |
| Electronics & Instrumentation Engineering | 60,000 - 61,500 |
| Genetic Engineering | 61,500 - 62,500 |
What the range means. The lower end of each band marks where a seat was confirmed in the first two counselling rounds. The wider end appeared only in the mop-up round or Phase-3, when a handful of seats opened because higher-ranked candidates withdrew. If your rank sits at the outer edge, don’t pin your hopes on a single branch - keep a backup campus locked.
For instance, in 2024, KTR CSE closed at 9,250 in round-1 of Phase-1, and the final round of Phase-1 stretched it to 9,500. The Phase-3 mop-up barely moved the needle. That’s how tight CSE stays.
The gap between KTR and the next Chennai campus is roughly 5,000 ranks for CSE. North India campuses open up another 10,000 ranks later. The table below combines 2024 final closing ranks (sourced from SRMIST counselling outcomes) with the 2025 trend and 2026 projections.
Ranks can slide 3,000-5,000 between Phase-1 round-1 and Phase-3 mop-up - but only for branches outside the top-tier trio of CSE, IT, and AI. For CSE at KTR, the movement is almost zero.
Exam is 130 marks, no negative marking. Raw scores go through a normalisation process across phases and slots. The table below is an estimate based on counselling trends over the last three years and the normalised rank distributions seen after Phase-1 results.
| Marks (out of 130) | Expected Rank Range |
|---|---|
| 115+ | 1 - 1,000 |
| 110+ | 1,000 - 2,500 |
| 100+ | 2,500 - 5,000 |
| 85 - 99 | 5,000 - 15,000 |
| 75 - 84 | 15,000 - 30,000 |
| 60 - 74 | 30,000 - 45,000 |
| 50 - 59 | 45,000 - 60,000 |
| Below 50 | 60,000+ |
Normalisation changes the game. A raw 100 in a difficult morning slot can translate to a better rank than a 105 in an easier afternoon slot. The percentile-based ranking levels the field. When you get your rank card, that normalised rank is the only number that matters - not your raw score.
Quick campus-branch targeting:
SRMJEEE has never published a category-specific cutoff list. The merit rank is common for all candidates. So why does this page - and every admission conversation - mention “category-wise”? Because reservation policies govern seat distribution inside counselling.
When seats are allotted, SRMIST applies the central reservation norms. Out of the total sanctioned intake in each branch, a percentage of seats is set aside for SC, ST, OBC, and other reserved categories. A general-category candidate competes only for open-category seats. A reserved-category candidate competes both in the open merit pool (if rank is strong enough) and in the reserved pool.
What this means for cutoffs. There is no published “SC cutoff” or “OBC cutoff” in terms of rank. But effectively, the rank at which a reserved-category student gets a seat can be higher (worse) than the open-category closing rank, because fewer seats are being fought over in that pool. For example, if the general closing rank for KTR CSE is 9,500, an OBC candidate with rank 12,000 may still get a seat from the OBC quota if seats remain. The exact rank threshold shifts each year based on how many reserved-category candidates apply and their scores.
What to do. Check the official seat matrix for the counselling phase you’re entering. It lists category-wise sanctioned seats for every branch and campus. That document tells you how many seats are available in each pool. With your rank and the general closing trend, you can roughly gauge whether a reserved quota seat might come your way. There’s no official cutoff publication beyond that.
You can’t control these, but knowing them keeps your planning grounded.
SRMJEEE counselling is rank-driven and sequential. Your choice filling order directly decides what you get. Here’s what the data shows:
Strategic takeaways:
Cutoffs are not walls. They’re moving bands shaped by thousands of decisions. Use this data to make your own move before the window shuts.
