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    Compare MSRUAS Bangalore vs Sahyadri College of Engineering and Management, Mangalore

    Compare MSRUAS Bangalore B.Tech Computer Science and Engineering vs Sahyadri College of Engineering and Management, Mangalore BE Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. MSRUAS Bangalore is rated 4.3 out of 5 by 90 verified students while Sahyadri College of Engineering and Management, Mangalore is rated 4 out of 5 by 71 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
    Menu

    B.Tech Computer Science and Engineering

    via MSRUAS Bangalore

    BE Artificial Intelligence and Machine Learning

    via Sahyadri College of Engineering and Management, Mangalore

    Quick Facts

    Location

    Bangalore, Karnataka
    Mangalore, Karnataka

    Ownership

    Private
    Private

    Type Of Institute

    State University

    -

    College Type

    University
    College

    Establishment Year

    2013
    2007

    Campus Size

    60 Acres
    10 Acres

    Total Courses Offered

    161
    17

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAAA+
    AAA

    NIRF Rank
    (Overall)

    101-150 (Universities)

    -

    Approvals

    UGC
    AICTE, Autonomous, +more

    Accreditations

    NAAC
    NAAC

    Other Ranked Domain

    56 (Pharmacy) - NIRF 2025

    -

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    364
    314

    Graduating Students
    (In Engineering and Architecture)

    499
    580

    Placement Percentage
    (In Engineering and Architecture)

    92%
    55%

    Median Salary LPA
    (In Engineering and Architecture)

    ₹5.80 LPA
    ₹4.75 LPA

    Student Going Higher Studies

    107
    10

    Graduating Students
    (overall)

    1005
    580

    Total Students Placed
    (overall)

    727
    314

    Placement Percentage
    (overall)

    86%
    55%

    Median Salary Lpa
    (overall)

    ₹ 5.73 LPA
    ₹ 4.75 LPA

    Student Going Higher Studies
    (overall)

    169
    10

    Insight 1/2
    Placement Statistics

    The average salary of MSRUAS Bangalore stands highest at 5.80 LPA followed by Sahyadri College of Engineering and Management, Mangalore at 4.75 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

    240
    180

    Fees

    ₹ 21 Lakh

    -

    Exams Accepted

    COMEDK UGET , KCET

    Course Approval

    -

    AICTE

    Admission Details

    • 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

    In the admission procedure, allotment of seats and fees structure for all the seats, our College strictly adheres the order of the Government of Karnataka amended from time to time and prevalent at the date of admission. As per the order of the Government of Karnataka, the allotment and distribution of the seats are as follows: 

    • 45% of the seats are filled by the Government of Karnataka through Common Entrance Test (CET).
    • 30% of the seats are filled through entrance test conducted by the Comed-K.
    • 25% of the seats are filled by Management.
    ... read more

    Eligibility Criteria

    Pass 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistries or Bio-Technology or Biology. Obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together

    For Lateral Entry to the Second year - 

    • Passed Diploma examination from an approved institution with at least 45% marks (40% in case of candidates belonging to reserve category) in appropriate branch of Engineering/Technology
    • Passed B.Sc. from a recognized University as recognized by UGC with at least 45% marks (40% in case of candidates belonging to reserve category) and passed class 12th standard with Physics and Mathematics as subjects
    ... read more

    Pass in 2nd PUC/12th/Equivalent Exam with English as one of the Languages and a minimum of 45% Marks in aggregate in Physics and Mathematics along with Chemistry/Bio-Technology/Biology/Electronics/Computer Science. (40% for SC, ST, Specified category Candidates).

    B.E. LEET - Diploma students should have 50% aggregate marks in all three years.

    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 21,00,000
    -

    Total Scholarships Provided

    171
    594

    Highest Scholarship Providing Authority

    Government
    Government

    Insight
    Fees

    MSRUAS Bangalore released a total of 171 scholarships granted by government bodies. Sahyadri College of Engineering and Management, Mangalore released a total of 590 scholarships granted by government bodies.

    Class Profile

    Data presented for the year 2024

    Total Students

    2412
    2905

    Total Faculty

    388
    174

    Total Male Students

    1558
    1858

    Total Female Students

    854
    1047

    Total Students Outside State

    589
    175

    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. Sahyadri College of Engineering and Management, Mangalore has a lower faculty ratio with 1 faculty over 17 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.

    Facilities

    Facilities

    Facilities Count

    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

    Alumni Associations

    Auditorium

    Boys Hostel

    Cafeteria

    Classrooms

    Girls Hostel

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Transport Facility

    Wifi

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    89
    71

    Individual Reviews

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

    posted on 1 year ago by Amarayya

    My college experience

    posted on 2 years ago by pratistha gaur

    Experience is similar to majority of students. It was good.

    posted on 2 years ago by Vishnu
    Read All Reviews

    Excellent College for Academic and Personal Growth !!!

    posted on 2 years ago by Mallika D K G
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    MSRUAS Bangalore has received the lowest rating for placements whereas Sahyadri College of Engineering and Management, Mangalore has comparatively better ratings across all aspects.

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

    MSRUAS Bangalore : MS Ramaiah University of Applied Sciences, Bangalore

    B.Tech Computer Science and Engineering

    feed back

    Sahyadri College of Engineering and Management, Mangalore

    BE Artificial Intelligence and Machine Learning

    feed back