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    Quick Facts

    Exam
    COMEDK UGET
    Seats
    120

    Course Details

    MODE

    Full time

    DURATION

    48 Months

    Bachelor 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.

    Student Reviews for BE Artificial Intelligence and Machine Learning

    College Infrastructure: 4.5/5
    Academics: 4.5/5
    Placements: 3.5/5
    Value for Money: 3/5
    Campus Life: 4.5/5

    It's good when it comes to Extra curricular activities

    Verified Review

    College Infrastructure

    My college has good Infrastructure and the surrounding gives good vibes for the learning and it's environment is so good it's away from the city so no pollution around the campus the nature is also so good

    it was a great experience

    Verified Review

    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.

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