Smt. Indira Gandhi College of Engineering, Navi Mumbai cutoff 2026

Smt. Indira Gandhi College of Engineering, Navi Mumbai, Thane, took part in MHT-CET CAP 2026 with 6 branches and 420 CAP seats. The hardest to get was Artificial Intelligence (AI) and Data Science, which closed at merit 43,143 (89.69 percentile) in CAP 2026 Round I on open seats, 47,649 in the last round.

Type
Unaided
District
Thane
Branches in CAP 2026
6
CAP seats
420
Fee
₹1,09,000 a year (FRA-approved, 2026-27)
CAP 2026 closing merit numbers, open seats
BranchRound ILast roundYear before, last roundSeatsSeat type
Artificial Intelligence (AI) and Data Science43,143 (89.69 percentile)47,64945,775 (2025)60General open, state level
Computer Engineering44,763 (89.36 percentile)47,36844,189 (2025)120General open, state level
Computer Science and Engineering(Artificial Intelligence and Machine Learning)46,102 (89.06 percentile)41,59238,632 (2025)60General open, state level
Computer Science and Engineering (Internet of Things and Cyber Security Including Block Chain Technology)52,644 (87.46 percentile)53,17243,892 (2025)60General open, state level
Mechanical Engineering64,838 (84.44 percentile)82,33280,916 (2025)60General open, state level
Electrical Engineering76,031 (81.71 percentile)77,52887,530 (2025)60General open, state level

Questions

What is the cutoff of Smt. Indira Gandhi College of Engineering, Navi Mumbai in CAP 2026?

On open seats in Round I: Artificial Intelligence (AI) and Data Science 43,143 (89.69 percentile); Computer Engineering 44,763 (89.36 percentile); Computer Science and Engineering(Artificial Intelligence and Machine Learning) 46,102 (89.06 percentile). Each branch and seat type has its own closing merit number; the table above lists them all.

What is the fee at Smt. Indira Gandhi College of Engineering, Navi Mumbai?

₹1,09,000 a year (FRA-approved, 2026-27), from the Fee Regulating Authority's approved fees.

Compare in Thane

Colleges with similar cutoffs nearby

Closing merit numbers from the official State CET Cell CAP lists. Past cutoffs describe what happened, not what will happen.