College code: 2763 · District: Coimbatore ·
Branches (with data): 9
Akshaya College of Engineering and Technology, SF No.112/1CPT,114/1,115/1,116/2C, Bagavathipalayam Road,Kinathukadavu, Coimbatore-642109.
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AD — ARTIFICIAL INTELLIGENCE AND DATA SCIENCE | 154.5 | 144.5 | 138.5 | 131.5 | 109.5 | 131 | — | 36/36 |
| CB — COMPUTER SCIENCE AND BUSSINESS SYSTEM | 149.5 | 132 | — | 131 | 114.5 | — | — | 18/19 |
| CE — Civil Engineering | 122 | 95 | 120.5 | 109 | 113.5 | — | — | 19/23 |
| CS — Computer Science and Engg. | 150.5 | 135.5 | 141.5 | 133 | 93 | 128 | — | 71/71 |
| EC — Electronics and Comm Engg. | 155 | 143 | 154 | 139.5 | 92.5 | 150.5 | — | 35/35 |
| EE — Electrical and Elec. Engg. | 137.5 | 120.5 | 132 | 122.5 | 81 | — | — | 22/23 |
| ME — Mechanical Engineering | 137 | 125 | 111.5 | 119.5 | 113 | 123 | — | 20/23 |
| MZ — Mechatronics Engineering | 135.5 | 114 | — | 109.5 | 84.5 | — | — | 20/22 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| AD | · | · | · | · | · | 142.5 | 151 | 148 | 154.5 | steady |
| CB | · | · | · | · | · | 130.5 | 134.5 | 133 | 149.5 | ▲ rising |
| CE | · | 83 | 88.5 | 87.5 | 120.62 | 84.5 | 94 | 82 | 122 | ▲ rising |
| CS | · | 133 | 120.5 | 111 | 163.18 | 136.5 | 142 | 144.5 | 150.5 | ▲ rising |
| EC | · | 98.75 | 84.5 | 100.5 | 153.92 | 120.5 | 134 | 137 | 155 | ▲ rising |
| EE | · | 82.25 | 82.5 | · | · | · | 120.5 | 113.5 | 137.5 | ▲ rising |
| MC | · | 90.5 | 97.5 | · | · | · | · | · | · | ▲ rising |
| ME | · | 83 | 88.5 | 80 | 147.1 | 86.5 | 99 | 103 | 137 | ▲ rising |
| MZ | · | · | · | 83.5 | 81 | 106 | 116.5 | 113.5 | 135.5 | ▲ 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.
