SRM Valliammai Engineering College TNEA cutoff marks 2017–2025

College code: 1422 · District: Chengalpattu · Branches (with data): 12
SRM Valliammai Engineering College (Autonomous), S.R.M. Nagar, Kattankulathur, Chengalpattu, Kancheepuram, Chennai-603203.

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Cutoff trends at this college (OC closing marks, ~3-year move)
▲ CE +18.5▲ ME +18▲ EI +15▲ AG +14▲ EE +12.5▲ MD +11no strong fallers
▲ rising = harder to get than before · ▼ falling = opportunity. Click a badge for the full year-by-year table.

2025 closing cutoffs by category

BranchOCBCBCMMBCSCSCASTSeats 2025
AD — Artificial Intelligence and Data Science183.5179178176.5158169.553/53
AG — Agriculture Engineering146119105119.5117.550/54
CE — Civil Engineering163154.5160.5153.5140.5123.527/27
CS — Computer Science and Engg.184.5178.5178178161.5141.514492/92
CY — Cyber Security180.5176173.517415711726/27
EC — Electronics and Comm Engg.179.5175173.5174.5155119126.582/82
EE — Electrical and Elec. Engg.174169.517116713940/41
EI — Electronics and Instru Engg.168.5165160159.5135.552/54
IT — Information Technology180.5176.5175174.5158.5108.555/55
MD — Medical Electronics Engg.159.5141.5140135.5119.553/55
ME — Mechanical Engineering167.5162.516215714439/41

Cutoff trend 2017–2025 (OC closing marks)

Branch171819202122232425Trend
·······142·
AD···159.5187185.89179.5179.5183.5steady
AG··133.5131.5169.12139132121.5146▲ rising
CE·1008381167.48120144.5153.5163▲ rising
CS·174158167185.52184.46180.5182184.5steady
CY···149.5182.04179173.5175180.5▲ rising
EC·159.5148139180.22174.89170.5173.5179.5▲ rising
EE·12497121174.99163161.5164.5174▲ rising
EI·90.599106.5172.88159.5153.5162168.5▲ rising
IT·164148150.5183.86181176176180.5steady
MD··91.5107.5169.92148.5141.5·159.5▲ rising
ME·14388102.5172.52143.5149.5154167.5▲ 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.