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    Compare Amity University, Bengaluru vs MSRUAS Bangalore

    Compare Amity University, Bengaluru B.Tech Artificial Intelligence and Machine Learning vs MSRUAS Bangalore B.Tech CSE Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. Amity University, Bengaluru is rated 4 out of 5 by 5 verified students while MSRUAS Bangalore is rated 4.3 out of 5 by 91 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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    B.Tech Artificial Intelligence and Machine Learning

    via Amity University, Bengaluru

    B.Tech CSE Artificial Intelligence and Machine Learning

    via MSRUAS Bangalore

    Quick Facts

    Location

    Bangalore, Karnataka
    Bangalore, Karnataka

    Ownership

    Private
    Private

    Type Of Institute

    State University
    State University

    College Type

    University
    University

    Establishment Year

    2023
    2013

    Campus Size

    70 Acres
    60 Acres

    Total Courses Offered

    58
    172

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    -

    AAAA+

    NIRF Rank
    (Overall)

    -

    101-150 (Universities)

    Approvals

    UGC
    UGC

    Accreditations

    -
    NAAC

    Other Ranked Domain

    -

    56 (Pharmacy) - NIRF 2025

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    -

    364

    Graduating Students
    (In Engineering and Architecture)

    -

    499

    Placement Percentage
    (In Engineering and Architecture)

    -

    92%

    Median Salary LPA
    (In Engineering and Architecture)

    -

    ₹5.80 LPA

    Student Going Higher Studies

    -
    107

    Graduating Students
    (overall)

    -

    369

    Total Students Placed
    (overall)

    -

    311

    Placement Percentage
    (overall)

    -

    97%

    Median Salary Lpa
    (overall)

    -

    ₹ 5.79 LPA

    Student Going Higher Studies
    (overall)

    -
    49

    Insight 1/2
    Placement Statistics

    The average salary of MSRUAS Bangalore stands highest at 5.80 LPA.

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree
    Degree

    Degree

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

    Branch

    Artificial Intelligence and Machine Learning
    Artificial Intelligence and Machine Learning

    Duration

    4 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    -

    90

    Fees

    ₹ 16.8 Lakh
    ₹ 20 Lakh

    Exams Accepted

    Admission Details

    National/State Engg. Entrance Exam/JEE/AMCAT

    • Admission to Govt. of Karnataka Quota (40%) -The students aspiring for admission are required to appear and qualify the Common Entrance Test (CET) Conducted by Karnataka Examination Authority (KEA)- Bangalore, Govt. of Karnataka.
    • Admission to University Quota (60% of the seats) Notes: up to 15% of seats are reserved for NRI / Foreign students - The students aspiring for admission are required to appear and qualify Uni-GAUGE and/or COMED-K examination conducted on all India basis.
    ... read more

    Eligibility Criteria

    12th min. 60% in aggregate with subjects Physics, Maths & Chemistry/Computer Science/Electronics/ Information Technology/Biology/Informatics Practices/ Biotechnology/Technical Vocational Subject/ Agriculture/Engineering Graphics/ Business Studies/Entrepreneurship

    ... read more
    • Pass 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 / BioTechnology / Biology / Electronics / Computer. 
    • Admission to University quota will be based on COMEDK/JEE/KCET scores. 
    ... read more

    College & Exam Cut-off

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 16,80,000
    ₹ 20,00,000

    Class Profile

    Data presented for the year 2024

    Total Students

    -

    2412

    Total Faculty

    -

    388

    Total Male Students

    -

    1558

    Total Female Students

    -

    854

    Total Students Outside State

    -

    589

    Insight 1/2
    Class Profile

    MSRUAS Bangalore has a lower faculty ratio with 1 faculty over 6 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.

    Facilities

    Alumni Associations

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Convenience Store

    Girls Hostel

    Gym

    I.T Infrastructure

    Library

    Medical/Hospital

    Parking Facility

    Sports

    Transport Facility

    Wifi

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    5
    90

    Individual Reviews

    overall the colloge life is meaning journey

    posted on 7 months ago by Yashwanth H C

    giving review was not really bad experienc cuz i kinda enjoy

    posted on 1 year ago by mohammediirfan2006

    A great place to build your Future

    posted on 1 year ago by nikhilgoudapolicepatil40
    Read All Reviews

    It's a good college to study and spend some time.

    posted on 2 years ago by Amarayya

    My college is good

    posted on 2 years ago by Dhanraj

    OUR COLLEGE IS WORTH STUDYING AND ASSURES A GREAT CAREER.

    posted on 2 years ago by Muskan kumar
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    MSRUAS Bangalore has received the lowest rating for placements whereas Amity University, Bengaluru has comparatively better ratings across all aspects.

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

    Amity University, Bengaluru

    B.Tech Artificial Intelligence and Machine Learning

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    MSRUAS Bangalore : MS Ramaiah University of Applied Sciences, Bangalore

    B.Tech CSE Artificial Intelligence and Machine Learning

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