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BE Artificial Intelligence and Machine Learning at Alva's Institute of Engineering and Technology, Mangalore Offline Course
Approved by AICTE
48 Months
Full timeQuick Facts
Exam KCET | Seats 120 |
Course Details
MODE
Full timeDURATION
48 MonthsBachelor of Engineering (BE) in Artificial Intelligence and Machine Learning is a four-year full-time undergraduate program recognized by All India Council for Technical Education (AICTE) and offered by the Visvesvaraya Technological University, Belagavi.
Eligibility Criteria
Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subjects/ 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.
Admission Details
Students who have appeared for any competitive entrance exams and have scored 70% and above can apply (CET and COMED-K Entrance Test for BE students.
Top Exams Accepted by Alva's Institute of Engineering and Technology, Mangalore
Student Reviews for BE Artificial Intelligence and Machine Learning
4/5(1 Reviews)
it was a great experience
Verified ReviewPosted on 19 Sep'25 by Anonymous
Batch of 2026-01-01 | BE Artificial Intelligence and Machine Learning
This user chose to post anonymously
Batch of 2026-01-01 | BE Artificial Intelligence and Machine Learning
College Infrastructure
the college infrastructure is well. Classrooms are equipped with projectors, creating an interactive learning environment. The campus features hostel, library, etc. additionally, there are plenty of green spaces for relaxation and recreational activities. wifi connectivity across the campus is reliable and fast ensuring students can access resources efficiently. while the specific facilities like canteen, gym and common areas could use some improvements overall the infrastructure to supports a conductive learning and living environment.
Know More About this College
Applications for Admissions are open.
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