B.Tech Artificial Intelligence and Machine Learning
via VIT Bhimavaram
M.Tech Artificial Intelligence and Machine Learning
via GEC Gudlavalleru
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
Approvals
Accreditations
Data presented for the year 2025
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 VIT Bhimavaram stands highest at 4 LPA followed by GEC Gudlavalleru at 3.30 LPA .
Insight 2/2
Placement Statistics
GEC Gudlavalleru recruited highest number of students with 752 placements followed by VIT Bhimavaram at 712 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
Admission Details
Admission through AP EAMCET.
Seats are divided into two categories :
1. Category A seats – 70%
2. Category B seats – 30%
Category A seats are filled by the Convenor and Category B seats by the Institution.
Eligibility Criteria
Admission to II Year B.TECH - [Lateral Entry]
Passed Bachelor’s Degree or equivalent in the relevant field. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.
Total Fees
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight 1/2
Fees
VIT Bhimavaram has the highest tuition fee among all 2 colleges followed by GEC Gudlavalleru.
Insight 2/2
Fees
VIT Bhimavaram released a total of 2845 scholarships granted by government bodies.
Data presented for the year 2025
Total Students
Total Faculty
Total Male Students
Total Female Students
Total Students Outside State
-
Insight 1/2
Class Profile
GEC Gudlavalleru has a better faculty ratio with 1 faculty over 1 students as compared with the average faculty ratio of private colleges which is 5 students per faculty. VIT Bhimavaram has a lower faculty ratio with 1 faculty over 21 students as compared with the average faculty ratio of private colleges which is 5 students per faculty.
Insight 2/2
Class Profile
GEC Gudlavalleru has better gender diversity with 51% female students as compared with the gender diversity of private colleges which is 38%. VIT Bhimavaram has lower gender diversity with 32% female students as compared with the gender diversity of private colleges which is 38%.
Alumni Associations
Auditorium
Banks/ATMs
Boys Hostel
Cafeteria
Classrooms
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Physical Challenged Student
Sports
Transport Facility
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ Good at study's and communication skills. ”
posted on 2 days ago by KONGARA RUTHIKA“ Good college with supporting faculty ”
posted on 6 days ago by NagaSivaramareddy Satti“ A positive learning experience with helpful professors ”
posted on 1 week ago by Vijay Rayi“ Good ”
posted on 1 week ago by Kopparthi Bharghavi“ It is truly outstanding ”
posted on 1 year ago by laalasalakshmi205“ Studying in my college that I really like it ”
posted on 2 years ago by anusharani DevarakondaInsight 1/2
College Reviews & Perception
GEC Gudlavalleru has received lower rating for value for money whereas VIT Bhimavaram has not received lower rating in any aspect.
Insight 2/2
College Reviews & Perception
VIT Bhimavaram has received the maximum positive reviews indicating active campus life and exceptional infrastructure.
Which college/course would you like to go ahead with?
VIT Bhimavaram : Vishnu Institute of Technology, Bhimavaram
B.Tech Artificial Intelligence and Machine Learning
GEC Gudlavalleru : Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru
M.Tech Artificial Intelligence and Machine Learning
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