College code: 1408 · District: Viluppuram ·
Branches (with data): 9
IFET College of Engineering (Autonomous), IFET Nagar, Gangarampalayam, Valavanur Post, Villupuram District-605108.
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AD — ARTIFICIAL INTELLIGENCE AND DATA SCIENCE | 167.5 | 135 | 152.5 | 151 | 131.5 | 162 | — | 69/70 |
| AL — Artificial Intelligence and Machine Learning | 160.5 | 126.5 | 149 | 152 | 131 | — | — | 35/36 |
| CS — Computer Science and Engg. | 176 | 145 | 148 | 157.5 | 144.5 | — | — | 100/105 |
| EC — Electronics and Comm Engg. | 157.5 | 129 | 144.5 | 144.5 | 122 | — | — | 120/124 |
| EE — Electrical and Elec. Engg. | 150 | 114 | 132.5 | 136 | 116 | — | — | 41/46 |
| IT — Information Technology | 160 | 132 | 146 | 149 | 125 | — | — | 77/80 |
| ME — Mechanical Engineering | 143.5 | 85.5 | 108 | 130 | 111.5 | 136.5 | — | 40/46 |
| SC — Computer Science and Engineering (Cyber Security) | 160 | 130 | 148 | 148.5 | 131 | — | — | 35/36 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| AD | · | · | · | · | · | 156.5 | 168 | 158.5 | 167.5 | steady |
| AL | · | · | · | · | · | 141.5 | 146.5 | 152 | 160.5 | ▲ rising |
| CE | · | 101.5 | 80 | 81 | 141 | 80 | 121.5 | · | · | ▼ falling |
| CS | · | 146.5 | 116.5 | 114 | 169.27 | 163.5 | 163 | 167 | 176 | ▲ rising |
| EC | · | 86.5 | 84 | 80 | 159.04 | 153.5 | 153.5 | 147 | 157.5 | steady |
| EE | · | 106.5 | 82 | 83.5 | 154.74 | 125 | 135 | 133 | 150 | ▲ rising |
| IT | · | 114.5 | 102 | 104 | 168.36 | 159.5 | 160 | 154.5 | 160 | steady |
| ME | · | 138.25 | 81 | 81 | 134.05 | 97.5 | 122 | 118 | 143.5 | ▲ rising |
| SC | · | · | · | · | · | · | 144.5 | 146 | 160 | ▲ 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.