BE Computer Science and Engineering
via Sapthagiri NPS University, Bengaluru
BE Artificial intelligence and Machine Learning
via Sai Vidya Institute of Technology, Bangalore
Location
Ownership
Type Of Institute
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College Type
Establishment Year
Campus Size
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Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
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Approvals
Accreditations
Data presented for the year 2024
Total Students Placed
(In Engineering and Architecture)
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Graduating Students
(In Engineering and Architecture)
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Placement Percentage
(In Engineering and Architecture)
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Median Salary LPA
(In Engineering and Architecture)
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Student Going Higher Studies
Graduating Students
(overall)
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Total Students Placed
(overall)
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Placement Percentage
(overall)
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Median Salary Lpa
(overall)
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Student Going Higher Studies
(overall)
Insight 1/2
Placement Statistics
The average salary of Sai Vidya Institute of Technology, Bangalore stands highest at 5 LPA.
Insight 2/2
Placement Statistics
Sai Vidya Institute of Technology, Bangalore recruited highest number of students with 226 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
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Course Approval
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Admission Details
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Admission is based on the CET/D-CET/COMED-K Rank Card for B.E. students.
Eligibility Criteria
Candidates must have passed 2nd PUC / 12th Standard with Physics and Mathematics as compulsory subjects, along with any one of Chemistry / Biology / Electronics / Computer Science / Bio-Technology, and English as one of the languages.
The candidates shall have passed the 2nd year Pre University or 12th standard or equivalent examination held preceding the entrance test with Physics and Mathematics as compulsory subjects, along with one of the following subjects - Chemistry, Biotechnology, Computer Science, Biology or Electronics. The Candidate should have secured not less than 45% of aggregate marks in optional subjects with English as one of the languages for admissions to engineering.
Data presented for the year 2025
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
Sai Vidya Institute of Technology, Bangalore released a total of 293 scholarships granted by government bodies.
Data presented for the year 2024
Total Students
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Total Faculty
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Total Male Students
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Total Female Students
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Total Students Outside State
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Insight 1/2
Class Profile
Sai Vidya Institute of Technology, Bangalore 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.
Insight 2/2
Class Profile
Sai Vidya Institute of Technology, Bangalore has better gender diversity with 43% female students as compared with the gender diversity of private colleges which is 36%.
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Girls Hostel
Gym
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
“ Giving a review for education is good for education ”
posted on 3 months ago by Kanaka“ sapthagiri college of engg, Bangalore ”
posted on 2 years ago by Digya Singh“ Nice college ”
posted on 2 years ago by ISHWARYA H B“ Teaching wise the college is the best ”
posted on 1 year ago by Bhumi Gowda“ My college is quite good. Teaching is also good ”
posted on 1 year ago by Nitish badghal“ Overall great college. I would definitely recommend it. ”
posted on 2 years ago by Tharun S NairInsight 1/2
College Reviews & Perception
Sapthagiri NPS University, Bengaluru has received lower rating for value for money whereas Sai Vidya Institute of Technology, Bangalore has not received lower rating in any aspect.
Insight 2/2
College Reviews & Perception
Sai Vidya Institute of Technology, Bangalore has received the maximum positive reviews indicating industry relevant curriculum and active campus life.
Which college/course would you like to go ahead with?
Sapthagiri NPS University, Bengaluru
BE Computer Science and Engineering
Sai Vidya Institute of Technology, Bangalore
BE Artificial intelligence and Machine Learning
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