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    Compare Galgotias University vs Lloyd Institute of Engineering and Technology Greater Noida

    Compare Galgotias University B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning vs Lloyd Institute of Engineering and Technology, Greater Noida 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. Galgotias University is rated 4.2 out of 5 by 837 verified students while Lloyd Institute of Engineering and Technology, Greater Noida is rated 4.3 out of 5 by 19 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 with Specialization in Artificial Intelligence and Machine Learning

    via Galgotias University

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

    via Lloyd Institute of Engineering and Technology, Greater Noida

    Quick Facts

    Location

    Greater Noida, Uttar Pradesh
    Greater Noida, Uttar Pradesh

    Ownership

    Private
    Private

    Parent Institute

    -

    AKTU Lucknow

    Type Of Institute

    State University

    -

    College Type

    University
    College

    Establishment Year

    2011

    Campus Size

    52 Acres

    -

    Total Courses Offered

    313
    13

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAAA

    -

    NIRF Rank
    (Overall)

    151-200

    -

    NIRF Rank
    (Engineering and Architecture)

    101-150

    -

    Approvals

    UGC
    Affiliated, AICTE

    Accreditations

    NAAC
    -

    Other Ranked Domain

    36 (Law) - NIRF 2025
    101-125 (Management) - NIRF 2025
    55 (Pharmacy) - NIRF 2025

    -

    Insight
    Ranking & Accreditations

    Galgotias University has remained consistent over the years.

    Source: NIRF

    Placement Statistics

    Data presented for the year 2024

    Total Students Placed
    (In Engineering and Architecture)

    1035
    127

    Graduating Students
    (In Engineering and Architecture)

    1087
    145

    Placement Percentage
    (In Engineering and Architecture)

    98%
    87%

    Median Salary LPA
    (In Engineering and Architecture)

    ₹6.50 LPA
    ₹2.85 LPA

    Student Going Higher Studies

    33
    -

    Graduating Students
    (overall)

    1243
    145

    Total Students Placed
    (overall)

    1128
    127

    Placement Percentage
    (overall)

    94%
    87%

    Median Salary Lpa
    (overall)

    ₹ 6.45 LPA
    ₹ 2.85 LPA

    Student Going Higher Studies
    (overall)

    49
    -

    Insight 1/2
    Placement Statistics

    The average salary of Galgotias University stands highest at 6.50 LPA followed by Lloyd Institute of Engineering and Technology, Greater Noida at 2.85 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
    Machine Learning and Artificial Intelligence

    Duration

    4 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    -

    240

    Fees

    ₹ 7.4 Lakh
    ₹ 3.79 Lakh

    Exams Accepted

    JEE Main , CUET UG
    JEE Main ,

    ...show more

    Course Approval

    -

    AICTE

    Admission Details

    -

    Admissions through UPTAC Counselling (JEE (main)/CUET score):

    UPTAC 2023/JEE (main)/CUET qualified candidates have to report to the college with an allotment letter issued by UPTAC in favor of Lloyd Institute of Engineering & Technology, College Code: 153 to complete the admission process to date as mentioned on the allotment letter.

    ... read more

    Eligibility Criteria

    Minimum 60% marks in Physics, Chemistry & Mathematics (PCM) in Class XIIth

    For Lateral Entry:- Passed Diploma examination with at least 50% marks in any branch of Engineering and Technology.

    Or

    Passed B.Sc. Degree from a recognized University with at least 50% marks and passed 10+2 examination with Mathematics as a subject.

    For Migration from Other Universities:

    1) B.E./B.Tech Ist year minimum 60% marks or equivalent

    2) 60% PCM or above at XII level.

    ... read more
    • B.Tech – First Year
    • Passed 10+2 or equivalent examination from a recognized Board.
    • Physics and Mathematics as compulsory subjects in 10+2.
    • Minimum 45% aggregate marks (40% for reserved categories).
    • Valid CUET (UG) score as per Government of India / AKTU guidelines OR admission through institute-level counseling as permitted by the university.

    • B.Tech – Lateral Entry (Second Year)
    • Passed 3-year Diploma in Engineering/Technology from a recognized institution
      OR
    • Passed B.Sc degree with Mathematics as a subject at 10+2 or graduation level.
    • Minimum 45% aggregate marks (40% for reserved categories).
    • Admission as per AKTU lateral entry norms.
    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 7,39,600
    ₹ 3,78,968

    Total Scholarships Provided

    5000
    116

    Highest Scholarship Providing Authority

    Self
    Government

    Insight 1/2
    Fees

    Galgotias University has the highest tuition fee among all 2 colleges followed by Lloyd Institute of Engineering and Technology, Greater Noida.

    Class Profile

    Data presented for the year 2024

    Total Students

    7604
    1491

    Total Faculty

    758
    104

    Total Male Students

    3707
    1028

    Total Female Students

    3897
    463

    Total Students Outside State

    5551
    626

    Insight 1/2
    Class Profile

    Galgotias University has a lower faculty ratio with 1 faculty over 10 students as compared with the average faculty ratio of private colleges which is 4 students per faculty. Lloyd Institute of Engineering and Technology, Greater Noida has a lower faculty ratio with 1 faculty over 14 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

    Classrooms

    Girls Hostel

    Gym

    I.T Infrastructure

    Library

    Medical/Hospital

    Physical Challenged Student

    Sports

    Transport Facility

    Wifi

    Alumni Associations

    Auditorium

    Boys Hostel

    Cafeteria

    Classrooms

    Convenience Store

    Girls Hostel

    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

    818
    19

    Individual Reviews

    “ From Classroom to Career - A Complete ride ”

    posted on 9 months ago by Anshu Raj

    “ Great campus, strong academics, and solid placements. ”

    posted on 10 months ago by Devank Downloads

    “ good college for btech cse atleast ”

    posted on 2 years ago by ranjeet sinha
    Read All Reviews

    “ Good college ”

    posted on 1 month ago by Deepanahu yadav
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    Galgotias University has received the lowest rating for value for money whereas Lloyd Institute of Engineering and Technology, Greater Noida has comparatively better ratings across all aspects.

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

    Galgotias University : Galgotias University, Greater Noida

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

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    Lloyd Institute of Engineering and Technology, Greater Noida

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

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