College code: 5703 · District: Dindigul ·
Branches (with data): 9
Christian College of Engineering and Technology, Near Check Post, Oddanchatram, Dindigul-624619.
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AD — ARTIFICIAL INTELLIGENCE AND DATA SCIENCE | 131.5 | 119.5 | 125.5 | 105.5 | 111.5 | 126 | 103.5 | 34/45 |
| AG — AGRICULTURAL ENGINEERING | 112 | — | 83 | 95 | 83 | — | — | 14/27 |
| AM — COMPUTER SCIENCE AND ENGINEERING (AI AND MACHINE LEARNING) | 115 | 96.5 | — | — | 97.5 | — | — | 14/25 |
| CE — Civil Engineering | 107 | — | — | — | — | — | — | 4/27 |
| CS — Computer Science and Engg. | 136 | 113 | 131.5 | 104.5 | 107.5 | 120 | — | 40/46 |
| EC — Electronics and Comm Engg. | 131 | 99.5 | 124.5 | 90 | 112.5 | — | — | 33/53 |
| EE — Electrical and Elec. Engg. | 88 | — | — | — | — | — | — | 4/28 |
| IT — Information Technology | 118 | 86.5 | — | 103.5 | 90 | 93 | — | 33/49 |
| ME — Mechanical Engineering | 99.5 | — | — | — | 81 | — | — | 10/28 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| AD | · | · | · | · | · | · | 124 | 135.5 | 131.5 | ▲ rising |
| AG | · | · | · | · | · | · | 106.5 | 113.5 | 112 | ▲ rising |
| AM | · | · | · | · | · | · | · | 96.5 | 115 | ▲ rising |
| CE | · | 89.75 | · | 79 | 144.19 | 85 | 80 | 93 | 107 | ▲ rising |
| CS | · | 123.25 | 94.5 | 94 | 157.85 | 130.5 | 124.5 | 123.5 | 136 | ▲ rising |
| EC | · | 80.5 | 83 | 95.5 | 132.85 | 91 | 89.5 | 95 | 131 | ▲ rising |
| EE | · | 80 | 79.5 | 79 | 127.92 | 103 | 96 | 114.5 | 88 | ▼ falling |
| IT | · | 92.25 | 101.5 | 100.5 | 165.14 | 129 | 118.5 | 112.5 | 118 | steady |
| ME | · | 80 | 82 | 80 | 132.93 | 80 | 101 | 84.5 | 99.5 | steady |
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.