B.Tech Artificial Intelligence and Machine Learning
via VNRVJIET Hyderabad
BE Artificial Intelligence and Data Science
via CBIT Hyderabad
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
NIRF Rank
(Engineering and Architecture)
Approvals
Accreditations
Insight
Ranking & Accreditations
VNRVJIET Hyderabad and CBIT Hyderabad have remained consistent over the years.
Source: NIRF
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 CBIT Hyderabad stands highest at 6 LPA followed by VNRVJIET Hyderabad at 5 LPA .
Insight 2/2
Placement Statistics
VNRVJIET Hyderabad recruited highest number of students with 1135 placements followed by CBIT Hyderabad at 800 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
Admission Details
Admission based on EAMCET/ TSEAMCET entrance exam.
Admissions under Convenor's Quota (70% of intake in each branch):
All the eligible applicants for admission into First Year shall have to qualify for the EAMCET Examination conducted by the Govt. of AP. The candidates will be admitted strictly in accordance with the merit secured at the Entrance Examination keeping in view the rules in force regarding the reservations of seats of various categories of candidates.
Admissions for BE/BTech under B-Category (Management Quota) (15% Merit and 15% NRI/NRI Sponsor) Admissions under Management Quota (30% of intake in each branch):
30% of seats shall be filled on the basis of rank obtained in JEE mains, EAMCET and IPE or equivalent. For getting under this category, the student must secure not less than 50% in aggregate or in group subjects (Maths, Physics and Chemistry) in the 10+2 qualifying examination.
Eligibility Criteria
The eligibility criteria for admission into engineering programmes offered at VNRVJIET shall be as prescribed by the Government of Telangana. The criteria are given below:
Direct Admission to Second Year: (Lateral Entry Scheme)
A candidate shall be admitted into the third semester (II year I semester) based on the rank secured by the candidate in the Engineering Common Entrance Test [ECET (For Diploma Holders)] by the Government of Telangana and as per other admission criteria laid down in the GOs.
A Candidate seeking admission to the four-year degree course in Engineering must have passed the Intermediate examination of the Board of Intermediate Education, Government of Telangana with Mathematics, Physics and Chemistry as optional subjects, or any other examination recognized by the Osmania University as equivalent thereto. All the eligible applicants for admission into First Year shall have to qualify in the EAMCET Examination conducted by the Govt. of Telangana. The candidates will be admitted strictly in accordance with the merit secured at the Entrance Examination keeping in view the rules in force regarding the reservations of seats of various categories of candidates. The candidates should satisfy the local/non-local status requirement as laid down in the AP Educational Institutions (Regulation of Admissions) Order as amended from time to time.
Data presented for the year 2025
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight
Fees
VNRVJIET Hyderabad released a total of 2544 scholarships granted by government bodies. CBIT Hyderabad released a total of 2552 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
VNRVJIET Hyderabad 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. CBIT Hyderabad has a lower faculty ratio with 1 faculty over 22 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.
Insight 2/2
Class Profile
VNRVJIET Hyderabad has better gender diversity with 37% female students as compared with the gender diversity of private colleges which is 36%. CBIT Hyderabad has better gender diversity with 37% female students as compared with the gender diversity of private colleges which is 36%.
Facilities
Facilities Count
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Classrooms
Convenience Store
Girls Hostel
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Transport Facility
Wifi
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
“ A place where learning meets opportunity ”
posted on 9 months ago by Kalyani“ Best college ”
posted on 2 years ago by Sravan Kumar“ Good ”
posted on 2 years ago by Srinith reddy“ Getting into CBIT is once a lifetime opportunity. ”
posted on 2 years ago by Sriram PendyalaInsight 1/2
College Reviews & Perception
VNRVJIET Hyderabad has received the lowest rating for value for money whereas CBIT Hyderabad has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
CBIT Hyderabad has received the maximum positive reviews indicating active campus life and strong placement support.
Which college/course would you like to go ahead with?
VNRVJIET Hyderabad : VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad
B.Tech Artificial Intelligence and Machine Learning
CBIT Hyderabad : Chaitanya Bharathi Institute of Technology, Hyderabad
BE Artificial Intelligence and Data Science
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