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    Compare MLRITM vs Vignan Institute of Technology and Science Nalgonda

    Compare MLRITM B.Tech Artificial Intelligence and Machine Learning vs Vignan Institute of Technology and Science, Nalgonda B.Tech Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. MLRITM is rated 4.2 out of 5 by 77 verified students while Vignan Institute of Technology and Science, Nalgonda is rated 4.1 out of 5 by 56 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 Artificial Intelligence and Machine Learning

    via MLRITM

    B.Tech Artificial Intelligence and Machine Learning

    via Vignan Institute of Technology and Science, Nalgonda

    Quick Facts

    Location

    Hyderabad, Telangana
    Nalgonda, Telangana

    Ownership

    Private
    Private

    Parent Institute

    College Type

    College
    College

    Establishment Year

    2009
    1999

    Campus Size

    17 Acres
    350 Acres

    Total Courses Offered

    13
    15

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAA+
    AAAA

    NIRF Rank
    (Engineering and Architecture)

    -

    151-200

    Approvals

    Autonomous, AICTE
    Affiliated, AICTE

    Accreditations

    NAAC
    NAAC

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    754
    608

    Graduating Students
    (In Engineering and Architecture)

    897
    796

    Placement Percentage
    (In Engineering and Architecture)

    88%
    95%

    Median Salary LPA
    (In Engineering and Architecture)

    ₹4 LPA
    ₹6.15 LPA

    Student Going Higher Studies

    41
    158

    Graduating Students
    (overall)

    941
    839

    Total Students Placed
    (overall)

    795
    647

    Placement Percentage
    (overall)

    88%
    95%

    Median Salary Lpa
    (overall)

    ₹ 3.99 LPA
    ₹ 6.17 LPA

    Student Going Higher Studies
    (overall)

    41
    162

    Insight 1/2
    Placement Statistics

    The average salary of Vignan Institute of Technology and Science, Nalgonda stands highest at 6.15 LPA followed by MLRITM at 4 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

    180
    60

    Fees

    ₹ 4.4 Lakh
    ₹ 4 Lakh

    Exams Accepted

    Course Approval

    AICTE
    AICTE

    Admission Details

    As per the prevailing Government Policy:- 70% of the seats are allotted from Government - Convenor Quota, and the remaining 30% from Management Quota - EAMCET/JEE Main Qualified or as notified by the Government likely 10+2 pass.

    ... read more

    -

    Eligibility Criteria

    Candidates having passed 10+2 Examination with minimum 60% marks.

    Candidates must have passed Class 10+2 exam from a recognized board with Physics, Chemistry, and Mathematics as core subjects.

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 4,40,000
    ₹ 4,00,000

    Total Scholarships Provided

    1014
    2286

    Highest Scholarship Providing Authority

    Government
    Government

    Insight
    Fees

    MLRITM released a total of 874 scholarships granted by government bodies. Vignan Institute of Technology and Science, Nalgonda released a total of 1650 scholarships granted by government bodies.

    Class Profile

    Data presented for the year 2024

    Total Students

    4314
    3766

    Total Faculty

    248
    250

    Total Male Students

    2686
    2002

    Total Female Students

    1628
    1764

    Total Students Outside State

    1096
    995

    Insight 1/2
    Class Profile

    Vignan Institute of Technology and Science, Nalgonda has a lower faculty ratio with 1 faculty over 15 students as compared with the average faculty ratio of private colleges which is 4 students per faculty. MLRITM 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

    Boys Hostel

    Cafeteria

    Girls Hostel

    Gym

    I.T Infrastructure

    Library

    Medical/Hospital

    Sports

    Transport Facility

    Alumni Associations

    Auditorium

    Boys Hostel

    Cafeteria

    Convenience Store

    Girls Hostel

    Guest Room/Waiting Room

    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

    77
    45

    Individual Reviews

    Excellent

    posted on 1 year ago by ch.Nikhitha

    exllent

    posted on 1 year ago by V.harshitha reddy
    Read All Reviews

    Ossum college experience

    posted on 1 year ago by Umesh arendala

    Marvellous campus experience

    posted on 1 year ago by Kamtekar karthik
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    Vignan Institute of Technology and Science, Nalgonda has received the lowest rating for value for money whereas MLRITM has comparatively better ratings across all aspects.

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

    MLRITM : Marri Laxman Reddy Institute of Technology and Management, Hyderabad

    B.Tech Artificial Intelligence and Machine Learning

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    Vignan Institute of Technology and Science, Nalgonda

    B.Tech Artificial Intelligence and Machine Learning

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