BE Artificial Intelligence and Machine Learning
via Jawaharlal Nehru New College of Engineering, Shimoga
BE Artificial Intelligence and Machine Learning
via PESITM Shimoga
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
-
Approvals
Accreditations
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 Jawaharlal Nehru New College of Engineering, Shimoga stands highest at 3.80 LPA.
Insight 2/2
Placement Statistics
Jawaharlal Nehru New College of Engineering, Shimoga recruited highest number of students with 375 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
-
Course Approval
Admission Details
The selection based on KCET and COMED K entrance exam.
For admission under management quota, students should compulsorily appear in CET/COMEDK/JEE or any other entrance test for professional program.
Lateral Entry
Eligibility Criteria
Pass in the Pre-University (or+2) examination with 45% aggregate marks in Physics, Maths and Chemistry (or Biology/Computer Science/Electronics/Bio-Technology). For SC/ST/Cat-1/OBC reservation candidates 40%.
The Students who have passed PUC/10+2 examination with Physics and Mathematics as compulsory subjects along with one of the subjects Chemistry /Computer Science / Electronics/ Biotechnology / Biology, with at least 45% of marks (40% in case of candidate belonging to reserved category as per Government order) in the above subjects taken together.
Data presented for the year 2025
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
Jawaharlal Nehru New College of Engineering, Shimoga released a total of 375 scholarships granted by government bodies.
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
Jawaharlal Nehru New College of Engineering, Shimoga has a lower faculty ratio with 1 faculty over 20 students as compared with the average faculty ratio of private colleges which is 11 students per faculty.
Insight 2/2
Class Profile
Jawaharlal Nehru New College of Engineering, Shimoga has better gender diversity with 48% female students as compared with the gender diversity of private colleges which is 37%.
Alumni Associations
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Classrooms
Convenience Store
Extra Curricular Activities
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Training and Placement Cell
Transport Facility
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ freshers to join the college by knowing about college ”
posted on 1 year ago by Usha.M.L“ Always thinking about leaving the clg from the day one. ”
posted on 7 months ago by dontknow“ Has both positive and challenging moments. ”
posted on 7 months ago by Sagar G“ good infracture but food quailty needs to improve ”
posted on 7 months ago by ChethanInsight 1/2
College Reviews & Perception
Jawaharlal Nehru New College of Engineering, Shimoga has received the lowest rating for value for money whereas PESITM Shimoga has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
PESITM Shimoga has received the maximum positive reviews indicating active campus life and industry relevant curriculum.
Which college/course would you like to go ahead with?
Jawaharlal Nehru New College of Engineering, Shimoga
BE Artificial Intelligence and Machine Learning
PESITM Shimoga : PES Institute of Technology and Management, Shimoga
BE Artificial Intelligence and Machine Learning
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