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    Compare CUIET Jhansla vs School of Computer Science, UPES Dehradun

    Compare CUIET Jhansla BE Computer Science and Engineering vs School of Computer Science, UPES Dehradun B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. CUIET Jhansla is rated 4.6 out of 5 by 240 verified students while School of Computer Science, UPES Dehradun is rated 4.1 out of 5 by 66 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 Computer Science and Engineering

    via CUIET Jhansla

    B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning

    via School of Computer Science, UPES Dehradun

    Quick Facts

    Location

    Chandigarh, Chandigarh
    Dehradun, Uttarakhand

    Ownership

    Private
    Private

    College Type

    College
    College

    Establishment Year

    2002

    Total Courses Offered

    20
    26

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAAA+

    -

    Approvals

    Constituent
    Constituent

    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

    Fees

    ₹ 12.7 Lakh
    ₹ 22.41 Lakh

    Exams Accepted

    JEE Main , UPESEAT

    Admission Details

    The selection based on JEE entrance exam.

    The process of selection criteria for students interested in pursuing B. Tech in Artificial Intelligence and Machine Learning offered by UPES is based on the individual's performance in UPESEAT / JEE Mains / Board Merit / SAT / CUET.

    ... read more

    Eligibility Criteria

    The Candidate Must XII passed with a minimum aggregate of 60% or secures 60% in Physics, Chemistry and Mathematics in Class XII,

    The minimum eligibility criteria for B. Tech in Artificial Intelligence and Machine Learning to be fulfilled by interested students is as follows: Minimum 50% marks in Class X and XII with 50% in PCM in Class XII.

    ... read more

    Fees

    Total Fees

    ₹ 12,70,000
    ₹ 22,41,400

    Facilities

    Facilities

    Facilities Count

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Girls Hostel

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    Transport Facility

    Boys Hostel

    Girls Hostel

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Sports

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    236
    65

    Individual Reviews

    good one

    posted on 11 months ago by Simranjit

    Giving a review here was quite impressive and enjoyable

    posted on 11 months ago by Natansh

    A lot to explore, diverse campus, innovation learning.

    posted on 1 year ago by Madhav Jain
    Read All Reviews

    overall development

    posted on 2 years ago by Manya Arora

    its an amazing to study over there.

    posted on 2 years ago by Murli Talreja

    Aryaman Tyagi

    posted on 2 years ago by ARYAMAN TYAGI
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    School of Computer Science, UPES Dehradun has received lower rating for value for money whereas CUIET Jhansla has not received lower rating in any aspect.

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

    CUIET Jhansla : Chitkara University Institute of Engineering and Technology, Jhansla

    BE Computer Science and Engineering

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    School of Computer Science, UPES Dehradun : School of Computer Science, UPES, Dehradun

    B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning

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