College code: 1207 · District: Kancheepuram ·
Branches (with data): 9
Kings Engineering College (Autonomous), Irungattukottai, Opp. Hyundai Car Company, Sriperumbudur, Kanchipuram-602117.
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AD — Artificial Intelligence and Data Science | 143.5 | 124.5 | 136 | 128 | 113.5 | — | — | 53/55 |
| AM — COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) | 150 | 128 | 136.5 | 143 | 105 | — | — | 13/13 |
| BM — Bio- Medical Engineering | 135.5 | 106.5 | 111.5 | 106 | — | — | — | 22/27 |
| CS — Computer Science and Engg. | 148 | 137 | 104 | 130 | 105 | — | — | 51/54 |
| EC — Electronics and Comm Engg. | 142.5 | 123 | 127.5 | 113 | 116.5 | — | — | 51/54 |
| IT — Information Technology | 132.5 | 118.5 | 112.5 | 121.5 | 93 | — | — | 51/54 |
| ME — Mechanical Engineering | 115 | 95 | 110.5 | 85.5 | 107.5 | — | — | 24/28 |
| RM — Robotics and Automation | 128 | 120 | — | 97 | — | — | — | 10/13 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| · | · | · | · | · | · | 128.5 | · | · | — | |
| AD | · | · | · | · | 167.07 | 121 | 154.5 | 144.5 | 143.5 | ▼ falling |
| AM | · | · | · | · | · | 117.5 | · | 123.5 | 150 | ▲ rising |
| BM | · | · | 115 | 109.5 | 165.96 | 109 | 104.5 | 96.5 | 135.5 | ▲ rising |
| CS | · | 79 | 111 | 108 | 161.84 | 134 | 138.5 | 138.5 | 148 | ▲ rising |
| EC | · | 85.5 | 106.5 | 89 | 162.83 | 114.5 | 128.5 | 134 | 142.5 | ▲ rising |
| IT | · | 87.25 | 111 | 89.5 | 158.56 | 136.5 | 136 | 112.5 | 132.5 | steady |
| ME | · | 101.5 | 110.5 | 80.5 | 122.4 | 81.5 | 91.5 | 93.5 | 115 | ▲ rising |
| RM | · | · | 81 | 79.5 | 147.63 | 83.5 | 102.5 | 85 | 128 | ▲ rising |
Source: official TNEA allotment statistics 2017–2025, compiled by TNEAhelp (free since 2011). Cutoffs are closing marks (out of 200) per category; verify with tneaonline.org. Have a question? Use the free Ask AI assistant (bottom right).
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Disclaimer: All information presented herewith are predictions based on earlier TNEA statistics. Users are adviced to verify the same with other sources.