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    Compare SIESGST Navi Mumbai vs SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai

    Compare SIESGST Navi Mumbai BE Artificial Intelligence and Machine Learning vs SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai B.Tech Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. SIESGST Navi Mumbai is rated 3.6 out of 5 by 34 verified students while SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai is rated 3.9 out of 5 by 8 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 Artificial Intelligence and Machine Learning

    via SIESGST Navi Mumbai

    B.Tech Artificial Intelligence and Machine Learning

    via SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai

    Quick Facts

    Location

    Navi Mumbai, Maharashtra
    Mumbai, Maharashtra

    Ownership

    Private
    Private

    Parent Institute

    Mumbai University
    DBATU Lonere

    College Type

    College
    College

    Establishment Year

    2002
    1963

    Campus Size

    3 Acres
    3 Acres

    Total Courses Offered

    11
    12

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAA+

    -

    Approvals

    Affiliated, AICTE
    Affiliated, AICTE

    Accreditations

    NAAC
    -

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    186

    -

    Graduating Students
    (In Engineering and Architecture)

    403

    -

    Placement Percentage
    (In Engineering and Architecture)

    52%

    -

    Median Salary LPA
    (In Engineering and Architecture)

    ₹5 LPA

    -

    Student Going Higher Studies

    50
    -

    Graduating Students
    (overall)

    405

    -

    Total Students Placed
    (overall)

    186

    -

    Placement Percentage
    (overall)

    52%

    -

    Median Salary Lpa
    (overall)

    ₹ 5 LPA

    -

    Student Going Higher Studies
    (overall)

    50
    -

    Insight 1/2
    Placement Statistics

    The average salary of SIESGST Navi Mumbai stands highest at 5 LPA.

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree
    Degree

    Degree

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

    Branch

    Machine Learning and Artificial Intelligence
    Artificial Intelligence and Machine Learning

    Duration

    4 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    60
    60

    Exams Accepted

    MHT CET

    Course Approval

    AICTE
    AICTE

    Eligibility Criteria

    Passed 10+2 examination with Physics, and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to the reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category), subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.

    ... read more

    Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.

    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Class Profile

    Data presented for the year 2024

    Total Students

    2072

    -

    Total Faculty

    50

    -

    Total Male Students

    1428

    -

    Total Female Students

    644

    -

    Total Students Outside State

    35

    -

    Insight 1/2
    Class Profile

    SIESGST Navi Mumbai has a lower faculty ratio with 1 faculty over 41 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.

    Facilities

    Facilities

    Facilities Count

    Alumni Associations

    Auditorium

    Cafeteria

    Classrooms

    Club

    Extra Curricular Activities

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Training and Placement Cell

    Wifi

    Workshops

    Alumni Associations

    Auditorium

    Cafeteria

    Classrooms

    Guest Room/Waiting Room

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Training and Placement Cell

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    33
    7

    Individual Reviews

    “ My thoughts about SIES GST as an Alumni ”

    posted on 1 month ago by Kunal Tamhane

    “ Enjoyable fesr and steady learning ”

    posted on 3 months ago by Divya hindurao

    “ Good option in navi Mumbai with steady academic support ”

    posted on 3 months ago by Anchal
    Read All Reviews

    “ Needs a sports ground. ”

    posted on 6 months ago by Veer Dhurve
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    SIESGST Navi Mumbai has received the lowest rating for value for money whereas SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai has comparatively better ratings across all aspects.

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

    SIESGST Navi Mumbai : SIES Graduate School of Technology, Navi Mumbai

    BE Artificial Intelligence and Machine Learning

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    SVKM's Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Mumbai

    B.Tech Artificial Intelligence and Machine Learning

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