College code: 2709 · District: Erode ·
Branches (with data): 8
Government College of Engineering (Formerly Institute of Road and Transport Technology) Vasavi College Post Erode District 638316
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AU — Automobile Engineering | 172.5 | 164 | 161.5 | 164.5 | 144.5 | 145 | — | 36/36 |
| CE — Civil Engineering | 176.5 | 169 | — | 173.5 | 169 | 167.5 | — | 35/35 |
| CF — COMPUTER SCIENCE AND ENGINEERING (DATA SCIENCE) | 188 | 184 | 185.5 | 185 | 170 | 168.5 | — | 34/34 |
| CS — Computer Science and Engg. | 191.5 | 187.5 | 191 | 188.5 | 180 | 174 | — | 34/34 |
| EC — Electronics and Comm Engg. | 189.5 | 186 | 184 | 187.5 | 173 | 166 | 153.5 | 32/32 |
| EE — Electrical and Elec. Engg. | 182.5 | 179.5 | 173.5 | 180 | 165.5 | 163.5 | 172 | 35/35 |
| IT — Information Technology | 186.5 | 183.5 | 183.5 | 184.5 | 177.5 | 161 | 159 | 36/36 |
| ME — Mechanical Engineering | 175.5 | 169 | 172 | 170 | 156.5 | — | — | 36/36 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| AU | · | 170.5 | 133.5 | 93 | 177.34 | 138 | 145.5 | 159 | 172.5 | ▲ rising |
| CE | · | 169.75 | 137.5 | 100.5 | 178.71 | 156 | 153 | 167 | 176.5 | ▲ rising |
| CF | · | · | · | · | · | · | · | · | 188 | — |
| CS | · | 184.25 | 171.5 | 160 | 188.44 | 188.74 | 188 | 188.5 | 191.5 | steady |
| EC | · | 185.25 | 161.5 | 145.5 | 185.92 | 183.22 | 179 | 184 | 189.5 | ▲ rising |
| EE | · | 179.75 | 155 | 139.5 | 183.53 | 176.5 | 175.5 | 179.5 | 182.5 | ▲ rising |
| IT | · | 179.25 | 155 | 150.5 | 187.22 | 186.76 | 187 | 187.5 | 186.5 | steady |
| ME | · | 179.25 | 152 | 128.5 | 178.31 | 163.5 | 160 | 165.5 | 175.5 | ▲ 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.
