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    Compare SRM University AP Amaravati vs SRM Ramapuram

    Compare SRM University AP, Amaravati M.Tech Artificial Intelligence and Machine Learning vs SRM Ramapuram B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. SRM University AP, Amaravati is rated 4.3 out of 5 by 74 verified students while SRM Ramapuram is rated 3.9 out of 5 by 125 verified students at Careers360. Explore Careers360 for detailed comparison on all course parameters and download free information on Admission details, Placement report, Eligibility criteria, etc.
    Quick facts
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    M.Tech Artificial Intelligence and Machine Learning

    via SRM University AP, Amaravati

    B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

    via SRM Ramapuram

    Quick Facts

    Location

    Guntur, Andhra Pradesh
    Chennai, Tamil Nadu

    Ownership

    Private
    Private

    Parent Institute

    -

    Type Of Institute

    State University

    -

    College Type

    University
    College

    Establishment Year

    2017
    1985

    Campus Size

    100 Acres
    4 Acres

    Total Courses Offered

    77
    29

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAAAA
    AAAAA

    Approvals

    UGC
    AICTE, Constituent

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    5

    -

    Graduating Students
    (In Engineering and Architecture)

    26

    -

    Placement Percentage
    (In Engineering and Architecture)

    19%

    -

    Median Salary LPA
    (In Engineering and Architecture)

    ₹8 LPA

    -

    Graduating Students
    (overall)

    916

    -

    Total Students Placed
    (overall)

    437

    -

    Placement Percentage
    (overall)

    58%

    -

    Median Salary Lpa
    (overall)

    ₹ 6.92 LPA

    -

    Student Going Higher Studies
    (overall)

    168
    -

    Insight 1/2
    Placement Statistics

    The average salary of SRM University AP, Amaravati stands highest at 8 LPA.

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree
    Degree

    Degree

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

    Branch

    Artificial Intelligence and Machine Learning
    Artificial Intelligence and Machine Learning

    Duration

    2 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    20
    360

    Fees

    ₹ 3 Lakh
    ₹ 15 Lakh

    Exams Accepted

    Course Approval

    -

    AICTE

    Admission Details

    Indian students

    • Admission will be based on meeting the eligibility conditions listed in Section A and Section B and the performance in the GATE (or equivalent SRM M.Tech. Entrance Exam) and personal interview.
    • The decision of the admission committee will be final and binding.
    ... read more

    Admission is done through the Entrance examination, SRMJEEE (UG)

    Eligibility Criteria

    A. Nationality

    • Resident or Non-Resident Indian (NRI) holders of PIO or OCI cards issued by the Government of India can apply for the selection process.

    B. Eligibility to Apply

    Indian students

    • A minimum aggregate score of 60% or equivalent grade point in Standard Class X, XII, and applicable/relevant UG programme.

    Relevant UG Programs

    • Computer Science and Engineering (CSE) (MTech in AI & ML, MTech in Data Science and MTech in Cyber Security) - BE/BTech in CSE/IT/SWE (or) MSc (CSE/IT) or MCA.
    • Electronics and Communication Engineering (ECE) (MTech in IOT, MTech in VLSI) - BE/BTech in Electronic Engineering Branches such as ECE, EEE, and EIE.
    • Mechanical Engineering (MTech in Materials and Manufacturing Technology & MTech in Thermal Engineering) - BE/BTech in Mechanical, Manufacturing, Metallurgy, and Production Engineering.
    • Environmental Science and Engineering (M.Tech. in Environmental and Sustainable Engineering) - B.E/B.Tech. in Environmental Eng./Civil Eng./Chemical Eng./Energy & Env./Agriculture or relevant fields (or) M.Sc. in Environmental Science or relevant fields (and ) Written Test + Interview
    ... read more

    ELIGIBILITY FOR B.TECH / PROGRAMS UNDER REGULAR STREAM:

    Nationality and Age: Resident Indian or Non-Resident Indian (NRI), are eligible to apply for SRMIST Ramapuram.

    Note: NRIs must apply under International student category only.

    Should have attained the age of 16 years and 6 months on the 31st July of the calendar year in which the 12th Board examination is to be held.

    QUALIFYING EXAMINATION:

    Applicant should have passed in Higher secondary examination (10, +2 pattern) or appearing in Higher Secondary examination in the current academic year with a minimum of 60% aggregate  ( 3 subjects) in Physics (mandatory) , Mathematics (mandatory) and at least one of Chemistry / Biotechnology / Biology / Computer Science / Information Technology / Informatics Practices / Engineering Graphics / Botany and (or) Zoology as major subjects in regular subjects in regular stream from any board within India , CBSE , ISCE , Matriculation , IB or NIOS

    Note:

    • For B.Tech Programs offered by the Department of Biotechnology, Department of Genetic Engineering and Department of Biomedical Engineering – Minimum 60% aggregate in PCM / PMB/PCB/PCB or Z (Botany or Zoology). Students who have not studied Mathematics as one of the major subjects in +2 must undertake an additional 4 credit courses in Mathematics during the First Year of B.Tech.
    • Students who have completed +2 under NIOS must have completed the 10th standard from regular schooling or vice-versa.
    • Students who have not studied Chemistry should undergo a bridge course in Chemistry in the first year.

    ... read more

    Fees

    Total Fees

    ₹ 3,00,000
    ₹ 15,00,000

    Total Scholarships Provided

    43
    -

    Highest Scholarship Providing Authority

    Self
    -

    Class Profile

    Data presented for the year 2024

    Total Students

    75

    -

    Total Faculty

    330

    -

    Total Male Students

    47

    -

    Total Female Students

    28

    -

    Total Students Outside State

    10

    -

    Insight
    Class Profile

    SRM University AP, Amaravati has lower gender diversity with 37% female students as compared with the gender diversity of private colleges which is 37%.

    Facilities

    Facilities

    Facilities Count

    Alumni Associations

    Auditorium

    Boys Hostel

    Cafeteria

    Girls Hostel

    Guest Room/Waiting Room

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Alumni Associations

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Convenience Store

    Girls Hostel

    I.T Infrastructure

    Library

    Medical/Hospital

    Sports

    Transport Facility

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    83
    123

    Individual Reviews

    SRM University

    posted on 2 years ago by Sanjay

    SRM University

    posted on 2 years ago by Santhosh Kumar

    SRM

    posted on 2 years ago by NIshanth
    Read All Reviews

    A life changing experience

    posted on 2 years ago by Tulip graceson

    Overall it's a good college to join

    posted on 2 years ago by Jinnam sai kiran reddy
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    SRM Ramapuram has received the lowest rating for value for money whereas SRM University AP, Amaravati has comparatively better ratings across all aspects.

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

    SRM University AP, Amaravati

    M.Tech Artificial Intelligence and Machine Learning

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    SRM Ramapuram : SRM Institute of Science and Technology, Ramapuram Campus

    B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

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