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    Compare BGSIT Mandya vs GITAM Deemed to be University Bengaluru Campus, Bengaluru

    Compare BGSIT Mandya BE Computer Science and Engineering vs GITAM Deemed to be University Bengaluru Campus, Bengaluru B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. BGSIT Mandya is rated 4.5 out of 5 by 1 verified students while GITAM Deemed to be University Bengaluru Campus, Bengaluru is rated 4.4 out of 5 by 56 verified students at Careers360. Explore Careers360 for detailed comparison on all course parameters and download free information on B.E /B.Tech Admission details, Placement report, Eligibility criteria, etc.
    Quick facts
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    BE Computer Science and Engineering

    via BGSIT Mandya

    B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

    via GITAM Deemed to be University Bengaluru Campus, Bengaluru

    Quick Facts

    Location

    Mandya, Karnataka
    Bangalore, Karnataka

    Ownership

    Private
    Private

    Parent Institute

    -

    College Type

    College
    College

    Establishment Year

    2005
    2012

    Campus Size

    21 Acres

    -

    Total Courses Offered

    14
    37

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAA

    -

    Approvals

    AICTE, Affiliated
    AICTE, Constituent

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    298

    -

    Graduating Students
    (In Engineering and Architecture)

    344

    -

    Placement Percentage
    (In Engineering and Architecture)

    91%

    -

    Median Salary LPA
    (In Engineering and Architecture)

    ₹4 LPA

    -

    Student Going Higher Studies

    19
    -

    Graduating Students
    (overall)

    436

    -

    Total Students Placed
    (overall)

    379

    -

    Placement Percentage
    (overall)

    90%

    -

    Median Salary Lpa
    (overall)

    ₹ 4.21 LPA

    -

    Student Going Higher Studies
    (overall)

    19
    -

    Insight 1/2
    Placement Statistics

    The average salary of BGSIT Mandya stands highest at 4 LPA.

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree
    Degree

    Degree

    B.E /B.Tech
    B.E /B.Tech

    Branch

    Computer Science Engineering
    Artificial Intelligence and Machine Learning

    Duration

    4 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    360
    180

    Fees

    -

    ₹ 13.84 Lakh

    Exams Accepted

    COMEDK UGET , GITAM GAT

    Course Approval

    AICTE
    AICTE

    Admission Details

    • Admissions are done as per the Government of Karnataka and AICTE Norms.
    • Candidate should have qualifying rank in either CET 
    ... read more

    Admission procedure Through GAT/UGTP.

    Eligibility Criteria

    • Candidate should have passed in 2nd PUC / 12th Std / Equivalent Exam with English as one of the Languages and obtained a Minimum of 45% of Marks in aggregate in Physics and Mathematics along with Chemistry / Bio-Technology / Biology / Electronics / Computer. (40% for SC, ST, Cat-1, 2A, 2B, 3A and 3B category candidates).
    ... read more

    A minimum of 50% or 5.0 CGPA aggregate marks in Intermediate or 10+2 examination from a recognized central / state board with Physics, Chemistry & Mathematics subjects.
    Students scoring between 50–60% must meet at least one of the following criteria to be eligible:
    a. Score over 42% (85/200) in GAT and over 75% in X Standard.
    b. Score over 55% (110/200) in GAT.
    c. Score over 85% in X Standard.
    Additionally, such students must sign a waiver form if companies require more than 60% in Intermediate or 12th grade for placements.

    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    -
    ₹ 13,84,000

    Total Scholarships Provided

    882
    -

    Highest Scholarship Providing Authority

    Government
    -

    Insight
    Fees

    BGSIT Mandya released a total of 785 scholarships granted by government bodies.

    Class Profile

    Data presented for the year 2024

    Total Students

    2094

    -

    Total Faculty

    113

    -

    Total Male Students

    972

    -

    Total Female Students

    1122

    -

    Total Students Outside State

    3

    -

    Insight 1/2
    Class Profile

    BGSIT Mandya has a lower faculty ratio with 1 faculty over 19 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.

    Facilities

    Facilities

    Facilities Count

    Auditorium

    Boys Hostel

    Cafeteria

    Classrooms

    Girls Hostel

    Guest Room/Waiting Room

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Training and Placement Cell

    Transport Facility

    Alumni Associations

    Auditorium

    Boys Hostel

    Girls Hostel

    I.T Infrastructure

    Laboratories

    Library

    Sports

    Transport Facility

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    1
    49

    Individual Reviews

    Learning as no limit

    posted on 2 years ago by Ramya P
    Read All Reviews

    Awesome experience

    posted on 1 year ago by Ajaykumar A B
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    GITAM Deemed to be University Bengaluru Campus, Bengaluru has received lower rating for value for money whereas BGSIT Mandya has not received lower rating in any aspect.

    Which college/course would you like to go ahead with?

    BGSIT Mandya : BGS Institute of Technology, Mandya

    BE Computer Science and Engineering

    feed back

    GITAM Deemed to be University Bengaluru Campus, Bengaluru

    B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

    feed back