B.Tech Computer Science and Engineering
via MSRUAS Bangalore
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
via PESU EC Campus
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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NIRF Rank
(Overall)
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Approvals
Accreditations
Other Ranked Domain
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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 MSRUAS Bangalore stands highest at 5.80 LPA.
Insight 2/2
Placement Statistics
MSRUAS Bangalore recruited highest number of students with 205 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
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Fees
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Admission Details
Register for and take PESSAT/ KCET/ both (if eligible) OR register for admission through JEE Mains score. Participate through counseling to compete for a merit seat based on PESSAT/ KCET/ JEE Mains score/ rank. Provisional blocking of seats through higher fee/management/NRI/PIO/OCI/Sponsored quota is also possible. Approach the Office of Admissions at PES University – Ring Road Campus for more information on this.
Eligibility Criteria
Pass 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistries or Bio-Technology or Biology. Obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together
For Lateral Entry to the Second year -
50% aggregate marks in Physics + Math + Chemistry/Computer Science/ Electronics/ Biotechnology of 10+2 or equivalent from a recognized board”. Test Scores in PESSAT (National level exam) or KCET (State level exam) or JEE Mains required.
Data presented for the year 2025
Total Fees
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
MSRUAS Bangalore has a lower faculty ratio with 1 faculty over 6 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.
Insight 2/2
Class Profile
MSRUAS Bangalore has lower gender diversity with 35% female students as compared with the gender diversity of private colleges which is 36%.
Alumni Associations
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Convenience Store
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
“ It's a good college to study and spend some time. ”
posted on 2 years ago by Amarayya“ My college experience ”
posted on 2 years ago by pratistha gaur“ Experience is similar to majority of students. It was good. ”
posted on 2 years ago by Vishnu“ Giving a review for my college is a quiet good experience . ”
posted on 0 year ago by Aditya Devaki“ this is a good experience ”
posted on 1 year ago by Rahul Satyavarapu“ The college is very good but it requires commitment ”
posted on 1 year ago by RajeshInsight 1/2
College Reviews & Perception
PESU EC Campus has received the lowest rating for value for money whereas MSRUAS Bangalore has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
PESU EC Campus has received the maximum positive reviews indicating exceptional infrastructure and strong placement support.
Which college/course would you like to go ahead with?
MSRUAS Bangalore : MS Ramaiah University of Applied Sciences, Bangalore
B.Tech Computer Science and Engineering
PESU EC Campus : PES University Electronic City Campus, Bangalore
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
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