M.Tech Artificial Intelligence and Machine Learning
via SRM University AP, Amaravati
B.Tech Artificial Intelligence and Machine Learning
via VNRVJIET Hyderabad
Location
Ownership
Type Of Institute
-
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 has 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 SRM University AP, Amaravati stands highest at 8 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 SRM University AP, Amaravati at 437 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
-
Admission Details
Admission based on EAMCET/ TSEAMCET entrance exam.
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.
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.
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.
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%. SRM University AP, Amaravati has lower gender diversity with 37% female students as compared with the gender diversity of private colleges which is 37%.
Facilities
Facilities Count
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Classrooms
Convenience Store
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
“ SRM University ”
posted on 2 years ago by Sanjay“ SRM University ”
posted on 2 years ago by Santhosh Kumar“ SRM ”
posted on 2 years ago by NIshanth“ A place where learning meets opportunity ”
posted on 9 months ago by KalyaniInsight 1/2
College Reviews & Perception
VNRVJIET Hyderabad has received the lowest rating for value for money whereas SRM University AP, Amaravati has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
VNRVJIET Hyderabad has received the maximum positive reviews indicating active campus life and exceptional infrastructure.
Which college/course would you like to go ahead with?
SRM University AP, Amaravati
M.Tech Artificial Intelligence and Machine Learning
VNRVJIET Hyderabad : VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad
B.Tech Artificial Intelligence and Machine Learning
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