BE Artificial Intelligence and Data Science
via PICT Pune
B.Tech Artificial Intelligence and Machine Learning
via PCCOE Pune
Location
Ownership
College Type
Establishment Year
Campus Size
Total Courses Offered
Careers360 Rating
(Engineering and Architecture)
NIRF Rank
(Engineering and Architecture)
-
Approvals
Accreditations
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 PICT Pune stands highest at 8.38 LPA followed by PCCOE Pune at 4.80 LPA .
Insight 2/2
Placement Statistics
PICT Pune recruited highest number of students with 709 placements followed by PCCOE Pune at 598 placements.
Source: NIRF
Course Credential
Degree
Branch
Duration
Mode
Approved Intake
Fees
Course Approval
Admission Details
-
An obtained score in CET or JEE Main Paper I.
Eligibility Criteria
(1) Maharashtra State Candidature Candidate-
(i) The Candidate should be an Indian National;
(ii) Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects, and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and The Candidate should have appeared in all the subjects in MHT-CET and should obtain non zero score in MHT-CET.
Or
(ii) Passed Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only);
(2) All India Candidature Candidates, Jammu and Kashmir Migrant Candidature Candidates-
(i) The Candidate should be an Indian National;
(ii) Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and should obtain non zero positive score in JEE Main Paper I or the candidate should have appeared in all the subjects in MHT-CET and should obtain non zero scores in MHT-CET. However, preference shall be given to the candidate obtaining a non zero positive scores in JEE (Main) Paper I over the candidates who obtained non zero scores in MHT-CET.
Or
(ii) Passed Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only);
Maharashtra State Candidature Candidate :
OR
OR
All India Candidature Candidates, Jammu and Kashmir Migrant Candidature Candidates :
OR
OR
Children of NRI / OCI / PIO, Children of Indian workers in the Gulf countries, Foreign National :
Direct Second Year (Lateral Entry) :
For Maharashtra State Candidature Candidate and All India Candidature Candidate:
OR
Data presented for the year 2025
Total Fees
Total Fees OBC
Total Fees SC/ST
Total Scholarships Provided
Highest Scholarship Providing Authority
Insight 1/3
Fees
PCCOE Pune has the highest tuition fee among all 2 colleges followed by PICT Pune.
Insight 2/3
Fees
PCCOE Pune with Development Fees (91.82 Thousand) has the highest individual extra fee, followed by PICT Pune with Development Fees (62.87 Thousand).
Insight 3/3
Fees
PICT Pune released a total of 619 scholarships granted by government bodies. PCCOE Pune released a total of 737 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
PCCOE Pune has a lower faculty ratio with 1 faculty over 21 students as compared with the average faculty ratio of private colleges which is 4 students per faculty. PICT Pune has a lower faculty ratio with 1 faculty over 54 students as compared with the average faculty ratio of private colleges which is 4 students per faculty.
Insight 2/2
Class Profile
PCCOE Pune has lower gender diversity with 26% female students as compared with the gender diversity of private colleges which is 36%. PICT Pune has lower gender diversity with 28% female students as compared with the gender diversity of private colleges which is 36%.
Facilities
Facilities Count
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Girls Hostel
Guest Room/Waiting Room
Gym
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Alumni Associations
Auditorium
Boys Hostel
Cafeteria
Girls Hostel
I.T Infrastructure
Laboratories
Library
Medical/Hospital
Sports
Wifi
College Infrastructure
Campus Life
Academics
Placements
Value for Money
Total Reviews
Individual Reviews
“ Best Engineering college ”
posted on 2 years ago by abhijeet pardeshi“ One of the best thing here is there are no ragging cases her ”
posted on 2 years ago by Dhaval Gundecha“ Academics vise very good. ”
posted on 2 years ago by Atharva“ I would highly recommend this college ”
posted on 1 month ago by Parth SawdekarInsight 1/2
College Reviews & Perception
PICT Pune has received the lowest rating for value for money whereas PCCOE Pune has comparatively better ratings across all aspects.
Insight 2/2
College Reviews & Perception
PICT Pune has received the maximum positive reviews indicating strong placement support and industry relevant curriculum.
Which college/course would you like to go ahead with?
PICT Pune : SCTR's Pune Institute of Computer Technology, Pune
BE Artificial Intelligence and Data Science
PCCOE Pune : Pimpri Chinchwad College of Engineering, Pune
B.Tech Artificial Intelligence and Machine Learning
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