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    Compare PSIT Kanpur vs DGI Greater Noida

    Compare PSIT Kanpur B.Tech Computer Science and Engineering Artificial Intelligence vs DGI Greater Noida B.Tech Artificial Intelligence and Machine Learning on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses, and other details. PSIT Kanpur is rated 4.2 out of 5 by 396 verified students while DGI Greater Noida is rated 3.6 out of 5 by 68 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 Artificial Intelligence

    via PSIT Kanpur

    B.Tech Artificial Intelligence and Machine Learning

    via DGI Greater Noida

    Quick Facts

    Location

    Kanpur, Uttar Pradesh
    Greater Noida, Uttar Pradesh

    Ownership

    Private
    Private

    Parent Institute

    College Type

    College
    College

    Establishment Year

    2004
    2006

    Campus Size

    80 Acres
    10 Acres

    Total Courses Offered

    11
    12

    Ranking & Accreditations

    Careers360 Rating
    (Engineering and Architecture)

    AAA+
    AAA

    Approvals

    Affiliated, AICTE
    Affiliated, AICTE

    Placement Statistics

    Data presented for the year 2025

    Total Students Placed
    (In Engineering and Architecture)

    867
    408

    Graduating Students
    (In Engineering and Architecture)

    913
    456

    Placement Percentage
    (In Engineering and Architecture)

    98%
    93%

    Median Salary LPA
    (In Engineering and Architecture)

    ₹6.15 LPA
    ₹5.70 LPA

    Student Going Higher Studies

    31
    20

    Graduating Students
    (overall)

    1256
    456

    Total Students Placed
    (overall)

    1197
    408

    Placement Percentage
    (overall)

    98%
    93%

    Median Salary Lpa
    (overall)

    ₹ 5.97 LPA
    ₹ 5.70 LPA

    Student Going Higher Studies
    (overall)

    43
    20

    Insight 1/2
    Placement Statistics

    The average salary of PSIT Kanpur stands highest at 6.15 LPA followed by DGI Greater Noida at 5.70 LPA .

    Source: NIRF

    Course & Fees Details

    Course Credential

    Degree
    Degree

    Degree

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

    Branch

    Artificial Intelligence
    Artificial Intelligence and Machine Learning

    Duration

    4 years
    4 years

    Mode

    Offline
    Offline

    Approved Intake

    180
    60

    Fees

    ₹ 4.37 Lakh
    ₹ 2.45 Lakh

    Exams Accepted

    Course Approval

    AICTE
    AICTE

    Admission Details

    Seats are filled through the Entrance Examination conducted by NTA on the basis of rank/score obtained in JEE (Main) / CUET. Management Seats: We prefer the rank/score obtained in JEE(Main) / CUET.

    ... read more

    Admission based on UPSEE and JEE Main entrance exam.

    Eligibility Criteria

    The eligibility criteria for admission in our courses are as follows:

    B.Tech:

    (1) 60% or above marks in 10th, 12th (minimum 60% in PCM)

    (2) Aptitude Test (Duration: 30 minutes) / Online Interview

    Lateral Entry Admission in B.Tech - II Year :

    (1) 60% or above marks in Diploma in Engineering

    (2) Personal / Online Interview

    ... read more

    Passed 10+2 with Physics and Maths as compulsory subjects and one of the following: Chemistry/Biotechnology/Biology/Technical vocational subject with a minimum of 45% marks (40% for SC candidates).

    ... read more

    College & Exam Cut-off

    Data presented for the year 2025

    Select Exam and Counselling

    Fees

    Total Fees

    ₹ 4,37,184
    ₹ 2,44,800

    Total Scholarships Provided

    2205
    247

    Highest Scholarship Providing Authority

    Government
    Government

    Insight 1/2
    Fees

    PSIT Kanpur has the highest tuition fee among all 2 colleges followed by DGI Greater Noida.

    Class Profile

    Data presented for the year 2025

    Total Students

    6443
    2274

    Total Faculty

    255
    139

    Total Male Students

    4603
    1641

    Total Female Students

    1840
    633

    Total Students Outside State

    1204
    887

    Insight 1/2
    Class Profile

    PSIT Kanpur has a lower faculty ratio with 1 faculty over 25 students as compared with the average faculty ratio of private colleges which is 11 students per faculty. DGI Greater Noida has a lower faculty ratio with 1 faculty over 16 students as compared with the average faculty ratio of private colleges which is 11 students per faculty.

    Facilities

    Alumni Associations

    Auditorium

    Banks/ATMs

    Boys Hostel

    Cafeteria

    Classrooms

    Girls Hostel

    Gym

    I.T Infrastructure

    Laboratories

    Library

    Medical/Hospital

    Parking Facility

    Sports

    Transport Facility

    Wifi

    College Reviews & Perception

    College Infrastructure

    Campus Life

    Academics

    Placements

    Value for Money

    Total Reviews

    389
    68

    Individual Reviews

    My college is quite one of the best.

    posted on 1 week ago by Devansh Bajpai

    My views on PSIT as an student pursuing B.Tech.

    posted on 2 years ago by Sarthak Jain
    Read All Reviews

    great fests , good infrastructure and good people

    posted on 6 months ago by ADITYA PRATAP SINGH

    The college is good for studies but average for campus life.

    posted on 2 years ago by Kaushal Sharma

    worth it if you are decent student in studies

    posted on 2 years ago by RAvi Kumar
    Read All Reviews
    -

    Insight 1/2
    College Reviews & Perception

    DGI Greater Noida has received the lowest rating for campus life whereas PSIT Kanpur has comparatively better ratings across all aspects.

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

    PSIT Kanpur : PSIT-Pranveer Singh Institute of Technology, Kanpur

    B.Tech Computer Science and Engineering Artificial Intelligence

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    DGI Greater Noida : Dronacharya Group of Institutions, Greater Noida

    B.Tech Artificial Intelligence and Machine Learning

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