B.Tech Computer Science Engineering
via BVRIT Narsapur
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
via JNTUH College of Engineering, Manthani
Careers360 Rating
(Engineering and Architecture)
-
Approvals
Accreditations
Data presented for the year 2025
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 BVRIT Narsapur stands highest at 4.35 LPA.
Insight 2/2
Placement Statistics
BVRIT Narsapur recruited highest number of students with 864 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
Admission Details
Admissions to regular Bachelor of Technology (B.Tech) programmes are made based on the rank secured in Engineering, Agriculture & Medicine Common Entrance Test (EAMCET) conducted by Telangana State Council of Higher Education, Hyderabad.
Three-year diploma holders, with Engineering Common Entrance Test (ECET) ranking, are eligible for admission into the Bachelor of Technology (B.Tech) Programmes.
Eligibility Criteria
Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
Data presented for the year 2025
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight 1/2
Fees
BVRIT Narsapur has the highest tuition fee among all 2 colleges followed by JNTUH College of Engineering, Manthani.
Insight 2/2
Fees
BVRIT Narsapur released a total of 1568 scholarships granted by government bodies.
Data presented for the year 2025
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
BVRIT Narsapur 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
BVRIT Narsapur has better gender diversity with 40% female students as compared with the gender diversity of private colleges which is 37%.
Alumni Associations
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Classrooms
Girls Hostel
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Transport Facility
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ Giving review to my college is good thing to me ”
posted on 5 days ago by Shiva“ Nice college and placements good to join students. ”
posted on 9 months ago by Konudula Nithin Kumar Red...“ The faculty here is superb. ”
posted on 9 months ago by Srinitha Nakkiratha“ Good ”
posted on 2 years ago by Bardawal BihariInsight 1/2
College Reviews & Perception
JNTUH College of Engineering, Manthani has received the lowest rating for placements whereas BVRIT Narsapur has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
BVRIT Narsapur has received the maximum positive reviews indicating active campus life and exceptional infrastructure.
Which college/course would you like to go ahead with?
BVRIT Narsapur : BV Raju Institute of Technology, Narsapur
B.Tech Computer Science Engineering
JNTUH College of Engineering, Manthani
B.Tech Computer Science and Engineering Artificial Intelligence and Machine Learning
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