Finolex Academy of Management and Technology Ratnagiri BE Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Ans. The total course fee for the 4-year BE in Artificial Intelligence and Machine Learning at Finolex Academy of Management and Technology, Ratnagiri, is INR 5,12,000. Hostel charges, if availed, are additional and range from INR 24,000 to INR 28,000 per year for both boys and girls hostel facilities on campus.

Ans. Admission to BE AI and ML at FAMT Ratnagiri is through MHT-CET 2026 via the Maharashtra Engineering CAP process at cetcell.mahacet.org. Seat allotment across four CAP rounds is based on the MHT-CET merit rank and college preferences filled in the option form. The MHT-CET Round 1 cutoff for this programme was 88.7 percentile in the previous admission cycle.

Ans. Yes, Finolex Academy of Management and Technology (FAMT), Ratnagiri, is affiliated to the University of Mumbai and approved by the All India Council for Technical Education (AICTE). The BE degree is awarded by the University of Mumbai upon successful completion of the 4-year programme in any engineering stream including AI and ML.

Ans. Candidates must have passed 10+2 with Physics, Chemistry, and Mathematics as compulsory subjects, securing a minimum of 50% aggregate marks (45% for reserved category candidates). A valid MHT-CET 2026 score is required for the CAP process. The Round 1 cutoff was 88.7 percentile in the previous cycle, reflecting the programme’s competitiveness at FAMT.

Ans. Maharashtra CET Cell conducts four CAP rounds for BE admissions. Round 1 allotment was released on 02 August 2026, Round 2 allotment is on 12 August 2026, Round 3 on 24 August 2026, and Round 4 on 03 September 2026. The last date for all admissions is 13 September 2026. Candidates must accept and report within each round’s stipulated window.

Ans. The highest placement package offered to students at Finolex Academy of Management and Technology, Ratnagiri, was INR 10 LPA. The college runs an active Training and Placement Cell that organises campus recruitment drives, pre-placement talks, mock interviews, and personality development sessions to improve student outcomes across engineering programmes including BE AI and ML.