College code: 5536 · District: Madurai ·
Branches (with data): 10
Mangayarkarasi College of Engineering, 7-1-139, 1st Street, Mangayarkarasi Nagar, Paravai, Madurai-625402.
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| Branch | OC | BC | BCM | MBC | SC | SCA | ST | Seats 2025 |
|---|---|---|---|---|---|---|---|---|
| AG — Agricultural Engineering | 130 | 97.5 | 82 | 126 | 95.5 | 99.5 | — | 36/48 |
| AM — COMPUTER SCIENCE AND ENGINEERING (AI AND MACHINE LEARNING) | 152.5 | 137 | 97.5 | 117 | 134.5 | 150 | — | 35/35 |
| CS — Computer Science and Engg. | 150 | 142 | 149.5 | 102 | 130.5 | 91 | — | 35/35 |
| EC — Electronics and Comm Engg. | 142 | 125 | 138.5 | 87.5 | 91.5 | 96 | — | 38/41 |
| EE — Electrical and Elec. Engg. | 135.5 | 106 | 123 | 99.5 | 88.5 | 93.5 | — | 22/24 |
| EV — Electronics Engineering (VLSI Design and Technology) | 129 | 119.5 | — | — | 109 | — | — | 15/22 |
| IT — INFORMATION TECHNOLOGY | 143.5 | 131.5 | 132.5 | 103.5 | 125.5 | 137.5 | — | 22/22 |
| ME — Mechanical Engineering | 107 | 80.5 | 85 | — | 100 | — | — | 16/24 |
| Branch | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | Trend |
|---|---|---|---|---|---|---|---|---|---|---|
| · | · | · | · | · | · | 137.5 | · | · | — | |
| AG | · | · | · | 96 | 159.76 | 126 | 130.5 | 119 | 130 | steady |
| AM | · | · | · | · | · | · | · | 147.5 | 152.5 | steady |
| CE | · | 84.75 | 83.5 | · | · | · | · | · | · | steady |
| CS | · | 130 | 103.5 | 93.5 | 162.5 | 154 | 151.5 | 156.5 | 150 | steady |
| EC | · | 124.25 | 109 | 96 | 161.48 | 132 | 126 | 132 | 142 | ▲ rising |
| EE | · | 82.25 | 105 | 84.5 | 147.47 | 108.5 | 115.5 | 115.5 | 135.5 | ▲ rising |
| EV | · | · | · | · | · | · | · | · | 129 | — |
| IT | · | · | · | · | · | · | · | · | 143.5 | — |
| ME | · | 81 | 91.5 | 79.5 | 147.06 | 90 | 96 | 93.5 | 107 | ▲ 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.
