Engineering — JEE, MHT CET & more

Chhartrapati Shivaji Maharaj Institute of Technology, Shedung, Panvel

MaharashtraUn-AidedCET Cell institute code: 03477

CET Cell seat matrix — 2026–27

300 seats in this document

Year: 2026–27. Source: Provisional Seat Matrix for CAP Round I for Admission to First Year Under Graduate Technical Courses in Engineering and Technology (4 Years) & Master of Engineering and Technology (Integrated 5 Years) Admissions A.Y. 2026-27 — State CET Cell, Government of Maharashtra, published 27 Jul 2026. Verified against the official document on 17 Oct 2026.

Provisional Seat Matrix for CAP Round I for Admission to First Year Under Graduate Technical Courses in Engineering and Technology (4 Years) & Master of Engineering and Technology (Integrated 5 Years) Admissions A.Y. 2026-27
Course	Quota	Seats
Artificial Intelligence and Machine Learning	All India seats	18
Artificial Intelligence and Machine Learning	Institute-level seats	6
Artificial Intelligence and Machine Learning	Maharashtra State (MS) seats	96
Computer Engineering	All India seats	18
Computer Engineering	Maharashtra State (MS) seats	102
Data Science	All India seats	9
Data Science	Institute-level seats	6
Data Science	Maharashtra State (MS) seats	45

CET Cell seat matrix — 2025–26

300 seats in this document

Year: 2025–26. Source: Provisional Seat Matrix for CAP Round I for Admission to First Year Under Graduate Technical Courses in Engineering and Technology (4 Years) & Master of Engineering and Technology (Integrated 5 Years) Admissions A.Y. 2025-26 — State CET Cell, Government of Maharashtra, published 25 Jul 2025. Verified against the official document on 17 Oct 2026.

Provisional Seat Matrix for CAP Round I for Admission to First Year Under Graduate Technical Courses in Engineering and Technology (4 Years) & Master of Engineering and Technology (Integrated 5 Years) Admissions A.Y. 2025-26
Course	Quota	Seats
Artificial Intelligence and Machine Learning	All India seats	18
Artificial Intelligence and Machine Learning	Maharashtra State (MS) seats	102
Civil Engineering	All India seats	9
Civil Engineering	Maharashtra State (MS) seats	51
Computer Engineering	All India seats	9
Computer Engineering	Institute-level seats	12
Computer Engineering	Maharashtra State (MS) seats	39
Mechanical Engineering	All India seats	9
Mechanical Engineering	Maharashtra State (MS) seats	51

Cutoffs and closing ranks

Opening and closing ranks per round, as listed in the official allotment or cut-off documents.

MHT CET 2026 — CAP Round I

MHT CET 2026 CAP Round I
Course	Quota	Category	Seat type	Closing rank	Percentile
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	NT1 – General	GNT1H	97,261	76.32
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	NT2 – General	GNT2H	1,43,921	61.80
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	NT2 – Ladies	LNT2H	1,27,936	67.12
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	NT3 – General	GNT3H	1,49,458	59.81
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	OBC – General	GOBCH	93,889	77.20
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	OBC – Ladies	LOBCH	98,460	75.93
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	OPEN – General	GOPENH	86,084	79.03
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	OPEN – Ladies	LOPENH	81,854	80.23
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	OPEN – PWD	PWDOPENH	1,47,019	60.58
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	SC – General	GSCH	1,23,379	68.63
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	SC – Ladies	LSCH	1,08,451	72.99
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	SEBC – General	GSEBCH	1,10,324	72.50
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	SEBC – Ladies	LSEBCH	1,25,772	67.97
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Home University Candidates	VJ – Ladies	LVJH	1,97,888	36.87
Artificial Intelligence and Machine Learning	Home University Seats Allotted to Other Than Home University Candidates	VJ – General	GVJH	2,02,539	33.89
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	NT1 – General	GNT1O	1,60,358	55.66
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – General	GOBCO	1,35,662	64.43
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – Ladies	LOBCO	1,35,161	64.72
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – General	GOPENO	1,04,200	74.22
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – Ladies	LOPENO	1,26,276	67.93
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	SC – General	GSCO	1,56,914	56.93
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	SC – Ladies	LSCO	1,74,771	49.20
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	SEBC – General	GSEBCO	1,48,947	60.01
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	SEBC – Ladies	LSEBCO	1,84,569	44.56
Artificial Intelligence and Machine Learning	Other Than Home University Seats Allotted to Other Than Home University Candidates	ST – General	GSTO	1,87,816	43.00
Artificial Intelligence and Machine Learning	State Level	Economically Weaker Section (EWS)	EWS	2,00,969	34.48
Artificial Intelligence and Machine Learning	State Level	OPEN – Defence	DEFOPENS	2,23,189	13.53
Artificial Intelligence and Machine Learning	State Level	Tuition Fee Waiver Scheme (TFWS)	TFWS	79,582	80.71
Computer Engineering	Home University Seats Allotted to Home University Candidates	NT1 – General	GNT1H	1,86,650	43.58
Computer Engineering	Home University Seats Allotted to Home University Candidates	NT2 – General	GNT2H	1,24,546	68.42
Computer Engineering	Home University Seats Allotted to Home University Candidates	NT3 – General	GNT3H	1,43,840	61.80
Computer Engineering	Home University Seats Allotted to Home University Candidates	OBC – General	GOBCH	90,618	77.90
Computer Engineering	Home University Seats Allotted to Home University Candidates	OBC – Ladies	LOBCH	87,373	78.89
Computer Engineering	Home University Seats Allotted to Home University Candidates	OPEN – General	GOPENH	78,439	81.03
Computer Engineering	Home University Seats Allotted to Home University Candidates	OPEN – Ladies	LOPENH	74,832	81.94
Computer Engineering	Home University Seats Allotted to Home University Candidates	SC – General	GSCH	1,22,846	68.67
Computer Engineering	Home University Seats Allotted to Home University Candidates	SC – Ladies	LSCH	1,23,728	68.60
Computer Engineering	Home University Seats Allotted to Home University Candidates	SEBC – General	GSEBCH	97,577	76.26
Computer Engineering	Home University Seats Allotted to Home University Candidates	SEBC – Ladies	LSEBCH	1,20,137	69.76
Computer Engineering	Home University Seats Allotted to Home University Candidates	ST – General	GSTH	1,61,785	55.00
Computer Engineering	Home University Seats Allotted to Home University Candidates	VJ – General	GVJH	78,977	80.79
Computer Engineering	Home University Seats Allotted to Other Than Home University Candidates	NT3 – Ladies	LNT3H	1,02,906	74.69
Computer Engineering	Home University Seats Allotted to Other Than Home University Candidates	VJ – General	GVJH	1,31,075	66.10
Computer Engineering	Other Than Home University Seats Allotted to Home University Candidates	NT1 – Ladies	LNT1O	1,26,434	67.92
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	NT2 – Ladies	LNT2O	1,28,430	66.72
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – General	GOBCO	1,19,543	69.81
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – Ladies	LOBCO	85,221	79.38
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – General	GOPENO	85,995	79.03
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – Ladies	LOPENO	82,078	80.18
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	SC – General	GSCO	1,24,200	68.50
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	SC – Ladies	LSCO	1,24,438	68.42
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	SEBC – General	GSEBCO	1,18,730	69.92
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	SEBC – Ladies	LSEBCO	1,30,463	66.13
Computer Engineering	Other Than Home University Seats Allotted to Other Than Home University Candidates	VJ – General	GVJO	1,07,292	73.26
Computer Engineering	State Level	Economically Weaker Section (EWS)	EWS	2,14,623	23.78
Computer Engineering	State Level	OPEN – Defence	DEFOPENS	1,78,899	47.75
Computer Engineering	State Level	Tuition Fee Waiver Scheme (TFWS)	TFWS	74,815	81.94
Data Science	Home University Seats Allotted to Home University Candidates	NT1 – Ladies	LNT1H	1,91,863	40.46
Data Science	Home University Seats Allotted to Home University Candidates	NT2 – Ladies	LNT2H	1,46,149	60.77
Data Science	Home University Seats Allotted to Home University Candidates	OBC – General	GOBCH	1,19,568	69.81
Data Science	Home University Seats Allotted to Home University Candidates	OBC – Ladies	LOBCH	1,09,454	72.80
Data Science	Home University Seats Allotted to Home University Candidates	OPEN – General	GOPENH	1,01,926	74.81
Data Science	Home University Seats Allotted to Home University Candidates	OPEN – Ladies	LOPENH	97,495	76.27
Data Science	Home University Seats Allotted to Home University Candidates	SC – General	GSCH	1,28,486	66.72
Data Science	Home University Seats Allotted to Home University Candidates	SC – Ladies	LSCH	1,03,928	74.42
Data Science	Home University Seats Allotted to Home University Candidates	SEBC – General	GSEBCH	1,27,734	67.25
Data Science	Home University Seats Allotted to Other Than Home University Candidates	VJ – General	GVJH	1,79,004	47.46
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	NT2 – General	GNT2O	2,03,710	32.61
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	NT3 – Ladies	LNT3O	1,78,878	47.75
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – General	GOBCO	1,42,815	62.31
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	OBC – Ladies	LOBCO	1,39,511	63.49
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – General	GOPENO	1,17,518	70.41
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	OPEN – Ladies	LOPENO	94,366	76.97
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	SC – General	GSCO	1,56,462	57.01
Data Science	Other Than Home University Seats Allotted to Other Than Home University Candidates	SEBC – General	GSEBCO	2,14,640	23.57
Data Science	State Level	Economically Weaker Section (EWS)	EWS	1,23,040	68.65
Data Science	State Level	Tuition Fee Waiver Scheme (TFWS)	TFWS	1,06,968	73.29

Year: CAP Round I, 2026. Source: Cut Off List for Maharashtra & Minority Seats of CAP Round I for Admission to First Year of Four Year Degree Courses In Engineering and Technology & Master of Engineering and Technology (Integrated 5 Years) for the Year 2026-27 — State CET Cell, Government of Maharashtra. Verified against the official document on 17 Oct 2026.

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Official portals

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