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    Quick Facts

    Total Fees
    10.70 L
    Exam
    COMEDK UGET
    Seats
    120

    Fees Details

    General

    10.70 L

    Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

    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 Course offered by HKBK College of Engineering, Bangalore recognized by All India Council for Technical Education (AICTE) and affiliated to Visvesvaraya Technological University, Belagavi.

    B.E in Artificial Intelligence and Machine Learning is currently the high-demand discipline in both Industry and Academics. Most of the IT companies like Microsoft, Google, AMAZON, Tesla, NVIDIA many more have adapted to this concept in their system.Artificial Intelligence involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Machine learning is a method of data analysis that automates analytical model building. Artificial Intelligence software, by the leading artificial intelligence companies, is a rapidly growing market that focuses on creating and providing intelligent problem-solving solutions. 

    Machine Learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Computers are becoming smarter, as AI and ML, a subset of AI, make tremendous strides in simulating human thinking.


    Important dates

    Exams and EventsDates
    COMEDK UGET
    Application Correction Date (Mode - Online)
    9 Apr'26 - 13 Apr'26
    COMEDK UGET
    Admit Card Date (Mode - Online)
    28 Apr'26 - 9 May'26
    COMEDK UGET
    Exam Date (Mode - Online)
    8 May'26 - 8 May'26
    COMEDK UGET
    Answer Key Date - Provisional answer key (Mode - Online)
    12 May'26 - 13 May'26
    COMEDK UGET
    Answer Key Date - Objection to provisional answer key (Mode - Online)
    12 May'26 - 15 May'26
    COMEDK UGET
    Answer Key Date (Mode - Online)
    19 May'26 - 19 May'26
    COMEDK UGET
    Result Date (Mode - Online)
    25 May'26 - 25 May'26
    KCET
    Admit Card Date (Mode - Online)
    10 Apr'26 - 23 Apr'26
    KCET
    Exam Date - Kannada Language Test (For Horanadu and Gadinadu Kannada-medium special category candidates (Bengaluru, Belagavi, Vijayapura & Mangaluru centres) (Mode - Online)
    22 Apr'26 - 22 Apr'26
    KCET
    Exam Date - Morning Shift (10:30 AM to 11:50 AM) & Afternoon Shift (2:30 PM to 3:50 PM) (Mode - Online)
    22 Apr'26 - 23 Apr'26
    KCET
    Admit Card Date (Mode - Online)
    10 Apr'26 - 23 Apr'26
    KCET
    Exam Date - Kannada Language Test (For Horanadu and Gadinadu Kannada-medium special category candidates (Bengaluru, Belagavi, Vijayapura & Mangaluru centres) (Mode - Online)
    22 Apr'26 - 22 Apr'26
    KCET
    Exam Date - Morning Shift (10:30 AM to 11:50 AM) & Afternoon Shift (2:30 PM to 3:50 PM) (Mode - Online)
    22 Apr'26 - 23 Apr'26

    Eligibility Criteria

    • Qualification: Pass in 10+2, A Level, IB, American 12th grade or equivalent with Physics, Mathematics and English as compulsory subjects along with Chemistry / Biology / Biotechnology / Electronics / Computer Science as optional subject, with a minimum of 45% marks taken together in Physics, Mathematics and any one of the optional subjects.
    • Candidates can apply both under General and Foreign/NRI categories

    Admission Details

    The students seeking admission to the first year BE Degree course in HKBK College of Engineering, Bangalore shall appear in the Competitive entrance test conducted by the concerned authorities as per the approval of the college from time to time. Merit Admissions will be done as per the merit list published by the concerned authorities

    • KCET
    • COMED K
    • JEE

    Management- The selection process will be purely based on academic merit and aptitude of the student.

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