
What Students Say
Likes
- The infrastructure of PSIT is well organised and developed.
- The faculty are well experienced and coordinate with students to get fruitful results.
- The relation between a teacher and the student is extremely good.
Dislikes
- I don't like the attendance policy to maintain above 90 percent.
- I don't like the fine policy of the college .They used to fine on student for any minor or major misleads
- The college is over disciplined . They have any games period.
Course Curriculum Overview
No curriculum activity is present in the college .they don't allow to play in the ground . No preference is given to the sports and nothing . No sports is played in our college. Only there are some clubs who support the games.
Fees and Financial Aid
The complete fees of btech in psit of branch CS ai is 180000 yearly . This includes tution fees of 1 lakh , admission fees of 25000 and lab fees + caution fees of the remaining. We can easily apply for scholarships in the college to receive it.
Campus Life
Ignitia is the main fest that consists of various technical fests and there are various other technology related things like techexo which provides the money for the most extraordinary projects that can help our country too.
Admission
I did not apply in any of the others Colleges. No as I didn't apply for the colleges so I don't got rejected too. The admission process consists of an interview followed by a MCQ test which will tell u that you r eligible or not
Faculty
65 is to 1 is the faculty -to-student ration.the relationship between the faculty and student is extremely good and the take care of each and every thing . ASHISH KUMAR PANDEY sir is my favourite faculty
Night Life
There are various hangout spots in college like ground and cafe 2004 and CHE cafe where we hang out during break . It consists of a library that has extraordinary collection of books available to issue .
Other Applied Colleges
Pranveer Singh Institute of Technology - [PSIT] | Bachelor of Technology [B.Tech] (Artificial Intelligence and Machine Learning)
Good placement records
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