B.Tech Artificial Intelligence and Machine Learning
via Genba Sopanrao Moze College of Engineering, Balewadi
BE Artificial Intelligence and Machine Learning
via FAMT Ratnagiri
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
-
Approvals
Accreditations
Data presented for the year 2025
Total Students Placed
(In Engineering and Architecture)
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Graduating Students
(In Engineering and Architecture)
-
Placement Percentage
(In Engineering and Architecture)
-
Median Salary LPA
(In Engineering and Architecture)
-
Student Going Higher Studies
Graduating Students
(overall)
-
Total Students Placed
(overall)
-
Placement Percentage
(overall)
-
Median Salary Lpa
(overall)
-
Student Going Higher Studies
(overall)
Insight 1/2
Placement Statistics
The average salary of FAMT Ratnagiri stands highest at 2.46 LPA.
Insight 2/2
Placement Statistics
FAMT Ratnagiri recruited highest number of students with 247 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
-
Course Approval
Admission Details
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The Candidate should have appeared in all the subjects in CET and should obtain non zero scores in CET conducted by the Competent Authority.
Eligibility Criteria
Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
Data presented for the year 2025
Total Fees
Total Fees OBC
Total Fees SC/ST
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
FAMT Ratnagiri released a total of 468 scholarships granted by government bodies.
Data presented for the year 2025
Total Students
-
Total Faculty
-
Total Male Students
-
Total Female Students
-
Total Students Outside State
-
Insight 1/2
Class Profile
FAMT Ratnagiri has a lower faculty ratio with 1 faculty over 25 students as compared with the average faculty ratio of private colleges which is 11 students per faculty.
Insight 2/2
Class Profile
FAMT Ratnagiri has lower gender diversity with 31% female students as compared with the gender diversity of private colleges which is 37%.
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Classrooms
Club
Convenience Store
Extra Curricular Activities
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Parking Facility
Sports
Training and Placement Cell
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ Nice college. ”
posted on 2 years ago by Komal kadunath sawai“ Nice collage ”
posted on 2 years ago by Dhananjay Kingre“ College has good infrastructure and facilities. ”
posted on 2 years ago by Pankaj Papade“ GOOD TEACHING ”
posted on 2 years ago by Madhura Patil“ Best option ”
posted on 2 years ago by Saurabh Padave“ Good. ”
posted on 2 years ago by ChinmayInsight 1/2
College Reviews & Perception
FAMT Ratnagiri has received the lowest rating for value for money whereas Genba Sopanrao Moze College of Engineering, Balewadi has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
Genba Sopanrao Moze College of Engineering, Balewadi has received the maximum positive reviews indicating industry relevant curriculum and exceptional infrastructure.
Which college/course would you like to go ahead with?
Genba Sopanrao Moze College of Engineering, Balewadi
B.Tech Artificial Intelligence and Machine Learning
FAMT Ratnagiri : Finolex Academy of Management and Technology, Ratnagiri
BE Artificial Intelligence and Machine Learning
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