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    Compare UCE-KU vs JNTUH College of Engineering, Wanaparthy

    Compare UCE-KU B.Tech Computer Science and Engineering vs JNTUH College of Engineering, Wanaparthy B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. UCE-KU is rated 2.2 out of 5 by 4 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 UCE-KU

    B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

    via JNTUH College of Engineering, Wanaparthy

    Quick Facts

    Location

    Bhadradri Kothagudem, Telangana
    Mahabubnagar, Telangana

    Ownership

    Government
    Government

    College Type

    College
    College

    Establishment Year

    1978
    2022

    Campus Size

    400 Acres

    -

    Total Courses Offered

    5
    5

    Ranking & Accreditations

    Approvals

    AICTE, Constituent
    -

    Placement Statistics

    Data presented for the year 2025

    Total Students Placed
    (In Engineering and Architecture)

    756

    -

    Graduating Students
    (In Engineering and Architecture)

    899

    -

    Placement Percentage
    (In Engineering and Architecture)

    94%

    -

    Median Salary LPA
    (In Engineering and Architecture)

    ₹6.50 LPA

    -

    Student Going Higher Studies

    97
    -

    Graduating Students
    (overall)

    899

    -

    Total Students Placed
    (overall)

    756

    -

    Placement Percentage
    (overall)

    94%

    -

    Median Salary Lpa
    (overall)

    ₹ 6.50 LPA

    -

    Student Going Higher Studies
    (overall)

    97
    -

    Insight 1/2
    Placement Statistics

    The average salary of UCE-KU stands highest at 6.50 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

    60
    60

    Fees

    ₹ 1.45 Lakh
    ₹ 97 Thousand

    Exams Accepted

    Course Approval

    AICTE

    -

    Admission Details

    The can­di­dates who want to seek admis­sion in this University College of Engineering have to qual­ify in the EAM­CET exam­i­na­tion con­ducted by the Govt. of Telan­gana. The can­di­dates should attend the coun­sel­ing for admis­sion into the Engi­neer­ing col­leges con­ducted by the Con­vener. Based on the rank obtained in EAM­CET, can­di­dates can opt for this Uni­ver­sity as per the avail­abil­ity of the col­lege and branch at the time of counselling.

    ... read more

    -

    Eligibility Criteria

    The can­di­dates who want to seek admis­sion in this University College of Engineering have to qual­ify in the EAM­CET exam­i­na­tion con­ducted by the Govt. of Telan­gana. The eli­gi­bil­ity is 10+2 with Maths, Physics, and Chem­istry as their main-stream. The can­di­dates should attend the coun­sel­ing for admis­sion into the Engi­neer­ing col­leges con­ducted by the Con­vener. Based on the rank obtained in EAM­CET, can­di­dates can opt for this Uni­ver­sity as per the avail­abil­ity of the col­lege and branch at the time of counselling.

    ... 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

    Fees

    Total Fees

    ₹ 1,44,800
    ₹ 97,000

    Total Scholarships Provided

    3445
    -

    Highest Scholarship Providing Authority

    Government
    -

    Insight
    Fees

    UCE-KU released a total of 3438 scholarships granted by government bodies.

    Class Profile

    Data presented for the year 2025

    Total Students

    3921

    -

    Total Faculty

    16

    -

    Total Male Students

    1589

    -

    Total Female Students

    2332

    -

    Total Students Outside State

    26

    -

    Insight 1/2
    Class Profile

    UCE-KU has a lower faculty ratio with 1 faculty over 245 students as compared with the average faculty ratio of government colleges which is 7 students per faculty.

    Facilities

    Alumni Associations

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Girls Hostel

    Guest Room/Waiting Room

    I.T Infrastructure

    Laboratories

    Library

    Sports

    Transport Facility

    College Reviews & Perception

    College Infrastructure

    -

    Campus Life

    -

    Academics

    -

    Placements

    -

    Total Reviews

    4

    Individual Reviews

    Qualitative

    posted on 2 years ago by Manojkumar

    About studies

    posted on 2 years ago by aravind kotla
    Read All Reviews
    -

    Insight
    College Reviews & Perception

    UCE-KU has received the maximum positive reviews indicating active campus life and exceptional infrastructure.

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

    UCE-KU : University College of Engineering, Kakatiya University, Kothagudem

    B.Tech Computer Science and Engineering

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    JNTUH College of Engineering, Wanaparthy

    B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning

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