In KCET 2025 counselling, Shetty Institute of Technology (Gulbarga) filled 5 branches in the General Merit (GM) category. The most competitive was AI & Machine Learning, which closed at rank 2,51,140 in Round 3. The easiest to get was Computer Science & Engineering, at 2,61,036.
Branch-wise GM closing ranks
KEA code E216| Branch | Round 1 | Round 2 | Round 3 |
|---|---|---|---|
| AI & Machine Learning | 66,581 | 73,323 | 2,51,140 |
| Electronics & Communication Engineering | 1,13,725 | 2,57,383 | 2,52,044 |
| Computer Science & Engineering | 85,389 | 1,01,451 | 2,61,036 |
| Electrical & Electronics Engineering | 1,42,260 | 2,42,465 | – |
| Civil Engineering | 1,80,000 | 2,61,644 | – |
Closing rank is the last KCET rank that got a seat in that round; a lower number is harder to get. These are GM (General Merit) ranks from KEA's UGCET 2025 counselling, Rounds 1–3. A dash means no seat was allotted in that round. KEA also publishes category-wise cutoffs (2A, 2B, 3A, 3B, SC, ST). 2027 cutoffs will differ; confirm on the KEA website. Updated .