BE Artificial Intelligence and Machine Learning
via SIT Mangalore
BE Artificial Intelligence and Machine Learning
via CEC Mangalore
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
Approvals
Accreditations
Data presented for the year 2024
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 SIT Mangalore stands highest at 5.85 LPA followed by CEC Mangalore at 4 LPA .
Insight 2/2
Placement Statistics
SIT Mangalore recruited highest number of students with 248 placements followed by CEC Mangalore at 153 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
Admission Details
The Government of Karnataka conducts the Common Entrance Test (CET) through the Karnataka Examination Authority. The KEA conducts the examination every year for four subjects, namely Physics, Chemistry, Mathematics, and Biology. A candidate who wants to get admission in engineering courses appears for Physics, Chemistry, and Mathematics exams. As per the CET ranking, G students can select the college at the time of CET online counselling.
The Karnataka Private Medical & Dental Colleges Association, namely "Consortium of Medical Engineering and Dental Colleges of Karnataka" COMEDK conducts an entrance examination (UGET) for all students irrespective of state. Based on the rank, the students have an option to select the college of their choice during counselling.
The applicant should have appeared for at least one of the entrance examinations CET conducted by Karnataka Examination Authority, Bangalore, OR COMEDK-UGET OR JEE OR KRLMPCA- UGCET.
Eligibility Criteria
Pass in 2nd PUC/12th Std/equivalent examination with Physics & Mathematics as compulsory subjects along with one of the Chemistry/Bio Technology/Biology/ Technical Vocational Subjects / Computer Science/ Information Technology / Informatics Practices / Agriculture / Engineering Graphics / Business Studies, and obtained 45% marks in the above subjects taken together. In case of candidates belonging to Karnataka SC/ST and other backward classes (Category 1, 2A, 2B, 3,A and 3B), the minimum marks for eligibility will be 40% in aggregate in optional subjects in the qualifying examination.
Lateral Entry
Candidates who have passed a three-year Diploma in Engineering with a minimum of 45% marks (40% for SC/ST) in the final year are eligible for lateral entry. As part of their course, such candidates will have to study additional subjects as prescribed by the University.
The minimum qualification for admission for BE is a pass in the 2nd PUC or 10 +2 higher secondary or equivalent qualifying examination with a minimum aggregate of 45% in Physics, Chemistry & Mathematics as compulsory subjects along with Biotechnology or computer Science or Biology or Electronics as optional subjects in place of Chemistry.40% marks in qualifying examination in case of *SC, ST, Category 1 & OBC Category candidates.
The relaxation in academic eligibility is extended only to Karnataka candidates belonging to the SC, ST & Cat-I, OBC. The above rules shall also be applicable to the candidates seeking admission under Management Quota.
Data presented for the year 2025
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
SIT Mangalore released a total of 141 scholarships granted by government bodies. CEC Mangalore released a total of 47 scholarships granted by government bodies.
Data presented for the year 2024
Total Students
Total Faculty
Total Male Students
Total Female Students
Total Students Outside State
Insight 1/2
Class Profile
SIT Mangalore has a lower faculty ratio with 1 faculty over 16 students as compared with the average faculty ratio of private colleges which is 4 students per faculty. CEC Mangalore has a lower faculty ratio with 1 faculty over 18 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.
Insight 2/2
Class Profile
SIT Mangalore has lower gender diversity with 35% female students as compared with the gender diversity of private colleges which is 36%. CEC Mangalore has better gender diversity with 48% female students as compared with the gender diversity of private colleges which is 36%.
Facilities
Facilities Count
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Club
Extra Curricular Activities
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Parking Facility
Sports
Training and Placement Cell
Transport Facility
Wifi
Alumni Associations
Banks/ATMs
Boys Hostel
Cafeteria
Convenience Store
Girls Hostel
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Parking Facility
Sports
Transport Facility
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ Srinivas institute of technology is good worth by paying and ”
posted on 1 year ago by Noufal Noufa“ Good experience with good friends and lecturers ”
posted on 11 months ago by Adithya Kadam“ Good and innocent college ”
posted on 2 years ago by Safinul islam“ Quality education at affordable cost ”
posted on 2 years ago by Rajendar SinghInsight 1/2
College Reviews & Perception
SIT Mangalore has received the lowest rating for value for money whereas CEC Mangalore has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
CEC Mangalore has received the maximum positive reviews indicating industry relevant curriculum and strong placement support.
Which college/course would you like to go ahead with?
SIT Mangalore : Srinivas Institute of Technology, Mangalore
BE Artificial Intelligence and Machine Learning
CEC Mangalore : Canara Engineering College, Mangalore
BE Artificial Intelligence and Machine Learning
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