B.Tech Computer Science and Engineering
via JUIT Solan
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
via GNIOT Greater Noida
Location
Ownership
Type Of Institute
-
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
NIRF Rank
(Engineering and Architecture)
-
Approvals
Accreditations
Insight
Ranking & Accreditations
JUIT Solan has remained consistent over the years.
Source: NIRF
Data presented for the year 2025
Total Students Placed
(In Engineering and Architecture)
-
Graduating Students
(In Engineering and Architecture)
-
Placement Percentage
(In Engineering and Architecture)
-
Median Salary LPA
(In Engineering and Architecture)
-
Student Going Higher Studies
Graduating Students
(overall)
-
Total Students Placed
(overall)
-
Placement Percentage
(overall)
-
Median Salary Lpa
(overall)
-
Student Going Higher Studies
(overall)
Insight 1/2
Placement Statistics
The average salary of JUIT Solan stands highest at 6.50 LPA.
Insight 2/2
Placement Statistics
JUIT Solan recruited highest number of students with 300 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
-
Fees
Course Approval
-
Admission Details
Admission based on All India Ranking of JEE Mains Exam.
Exam accepted - JEE Main, CUET.
Eligibility Criteria
Student must pass in 10+2 examination from recognized State/CBSE/ISC board with minimum 60% aggregate marks.
Merit will be drawn on percentage of marks of Biology / Biotechnology as compulsory subject and two other subject having higher score out of Physics, Mathematics, Chemistry, Computer Science, Information Technology, Informatics Practices, Technical Vocational Subjects, Agriculture, Electronics, Entrepreneurship, Engineering Graphics, Business Studies and English.
The candidate should have passed 10+2 with physics & Maths and Chemistry with min. 50%.
Lateral Entry - Diploma with 50% .
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
JUIT Solan has the highest tuition fee among all 2 colleges followed by GNIOT Greater Noida.
Data presented for the year 2025
Total Students
-
Total Faculty
-
Total Male Students
-
Total Female Students
-
Total Students Outside State
-
Insight 1/2
Class Profile
JUIT Solan has a lower faculty ratio with 1 faculty over 18 students as compared with the average faculty ratio of private colleges which is 5 students per faculty.
Insight 2/2
Class Profile
JUIT Solan has lower gender diversity with 28% female students as compared with the gender diversity of private colleges which is 38%.
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Convenience Store
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Physical Challenged Student
Sports
Transport Facility
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ The college life is good. It is full of excitement ”
posted on 5 months ago by Mitesh“ The life here is good ”
posted on 5 months ago by Surakshit Rawat“ The campus life is enjoyable ”
posted on 5 months ago by Anish Chauhan“ best budget friendly and descent college ”
posted on 2 months ago by Naman Singh Rajput“ Overall experience at gniot is average and descent. ”
posted on 2 months ago by Pallavi Singh“ Overall experience was good ”
posted on 2 months ago by Ayushi BharadwazInsight 1/2
College Reviews & Perception
JUIT Solan has received the lowest rating for value for money whereas GNIOT Greater Noida has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
GNIOT Greater Noida has received the maximum positive reviews indicating exceptional infrastructure and active campus life.
Which college/course would you like to go ahead with?
JUIT Solan : Jaypee University of Information Technology, Solan
B.Tech Computer Science and Engineering
GNIOT Greater Noida : Greater Noida Institute of Technology Engineering Institute, Greater Noida
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
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