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    Compare CBIT Hyderabad vs MJCET Hyderabad

    Quick facts
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    BE Computer Science and Engineering Artificial Intelligence and Machine Learning

    via CBIT Hyderabad

    via NA

    Quick Facts

    Location

    Hyderabad, Telangana
    NA

    Ownership

    Private

    -

    Parent Institute

    -

    College Type

    College

    -

    Establishment Year

    1979

    Campus Size

    50 Acres

    -

    Total Courses Offered

    23
    -

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAAA

    NIRF Rank
    (Engineering and Architecture)

    151-200

    Approvals

    Autonomous, AICTE, +more

    Accreditations

    NAAC

    Insight
    Ranking & Accreditations

    CBIT Hyderabad has remained consistent over the years.

    Source: NIRF

    Placement Statistics

    Data presented for the year 2025

    Total Students Placed
    (In Engineering and Architecture)

    901

    -

    Graduating Students
    (In Engineering and Architecture)

    1413

    -

    Placement Percentage
    (In Engineering and Architecture)

    72%

    -

    Median Salary LPA
    (In Engineering and Architecture)

    ₹6 LPA

    -

    Student Going Higher Studies

    167
    -

    Graduating Students
    (overall)

    1413

    -

    Total Students Placed
    (overall)

    901

    -

    Placement Percentage
    (overall)

    72%

    -

    Median Salary Lpa
    (overall)

    ₹ 6 LPA

    -

    Student Going Higher Studies
    (overall)

    167
    -

    Insight 1/2
    Placement Statistics

    The average salary of CBIT Hyderabad stands highest at 6 LPA.

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree

    Degree

    B.E /B.Tech

    Branch

    Artificial Intelligence and Machine Learning

    Duration

    4 years

    Mode

    Offline

    Approved Intake

    180

    Fees

    ₹ 7.32 Lakh

    Exams Accepted

    Course Approval

    AICTE

    Admission Details

    Admissions under Convenor's Quota (70% of intake in each branch):

    All the eligible applicants for admission into First Year shall have to qualify for the EAMCET Examination conducted by the Govt. of AP. The candidates will be admitted strictly in accordance with the merit secured at the Entrance Examination keeping in view the rules in force regarding the reservations of seats of various categories of candidates.

    Admissions for BE/BTech under B-Category (Management Quota) (15% Merit and 15% NRI/NRI Sponsor) Admissions under Management Quota (30% of intake in each branch):

    30% of seats shall be filled on the basis of rank obtained in JEE mains, EAMCET and IPE or equivalent. For getting under this category, the student must secure not less than 50% in aggregate or in group subjects (Maths, Physics and Chemistry) in the 10+2 qualifying examination.

    ... read more

    Eligibility Criteria

    A Candidate seeking admission to the four-year degree course in Engineering must have passed the Intermediate examination of the Board of Intermediate Education, Government of Telangana with Mathematics, Physics and Chemistry as optional subjects, or any other examination recognized by the Osmania University as equivalent thereto. All the eligible applicants for admission into First Year shall have to qualify in the EAMCET Examination conducted by the Govt. of Telangana. The candidates will be admitted strictly in accordance with the merit secured at the Entrance Examination keeping in view the rules in force regarding the reservations of seats of various categories of candidates. The candidates should satisfy the local/non-local status requirement as laid down in the AP Educational Institutions (Regulation of Admissions) Order as amended from time to time.

    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 7,32,000
    ₹ 5,10,000

    Total Scholarships Provided

    2997
    2002

    Highest Scholarship Providing Authority

    Government
    Government

    Insight
    Fees

    CBIT Hyderabad released a total of 2913 scholarships granted by government bodies.

    Class Profile

    Data presented for the year 2025

    Total Students

    6105

    -

    Total Faculty

    260

    -

    Total Male Students

    3841

    -

    Total Female Students

    2264

    -

    Total Students Outside State

    471

    -

    Insight 1/2
    Class Profile

    CBIT Hyderabad has a lower faculty ratio with 1 faculty over 23 students as compared with the average faculty ratio of private colleges which is 11 students per faculty.

    Facilities

    Alumni Associations

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Convenience Store

    Girls Hostel

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Parking Facility

    Sports

    Transport Facility

    Wifi

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    291
    17

    Individual Reviews

    Learning quality better than expected

    posted on 7 months ago by Jay Kumar Das

    Campus vibe is friendly and peaceful

    posted on 9 months ago by Jay Kumar Das

    Recommended college for aspiring students.

    posted on 2 years ago by Kunaal Sai
    Read All Reviews

    Great and innovative staff guide u with their experience

    posted on 1 year ago by MD KHALEEL UR RAHMAN

    Excellent college i have ever seen and happy to be part of

    posted on 2 years ago by Syed Fasiuddin

    Mj

    posted on 2 years ago by Arif Uddin
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    MJCET Hyderabad has received the lowest rating for value for money whereas CBIT Hyderabad has comparatively better ratings across all aspects.

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

    CBIT Hyderabad : Chaitanya Bharathi Institute of Technology, Hyderabad

    BE Computer Science and Engineering Artificial Intelligence and Machine Learning

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