| College | Branch | Quota / category | Round | Closing rank |
|---|---|---|---|---|
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · Open · PwD | Round 3 | 4,487 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · Open · PwD | Round 2 | 4,694 |
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · ST | Round 5 | 5,320 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · ST | Round 5 | 6,858 |
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · SC | Round 5 | 11,701 |
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · EWS | Round 5 | 11,876 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · EWS | Round 5 | 13,081 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · SC | Round 5 | 13,324 |
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · OBC-NCL | Round 5 | 29,552 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · OBC-NCL | Round 5 | 32,586 |
| Central University of Punjab GFTI · Bathinda, Punjab | Computer Science and Engineering B.Tech | All India (AI) · Open | Round 5 | 73,747 |
| Central University of Punjab GFTI · Bathinda, Punjab | Artificial Intelligence and Machine Learning B.Tech + M.Tech (Dual Degree) | All India (AI) · Open | Round 5 | 83,738 |
Ranks are from the official counselling results of the year shown. P = preparatory rank. Predictions are a guide only; the next year's cut-offs can be higher or lower.