Likes
- The toughest part of the university is to leave the university after exams as time at the university is among the best times one can have.
- Out of many infra Marvel at the university my favourite is the fighter plane installed at the centre of the campus.
Dislikes
- Hostels are not good at all as they are tell expensive and one can easily find a better place to live and eat at half the price outside the campus.
Course Curriculum Overview :
Of course it's the usage and the number of applications that are getting AI intergreatees day after day has made me choose this course. As per my view exams aren't that tough because what we are taught in classes and labs is what comes in our exams.
Placement Experience :
Wipro, TCS, Infosys, Tech Mahindra and others have been a part of the university as partners for placements. We have been induced with their workshops so what we have to work, we will already would have surpassed that and therefore offering us placements worth good enough salary of 8 lakhs or rather more.
Loan/ Scholarship Provisions :
SU, Mathura which is one of the largest universities in Mathura commands just 1.31 lakhs a year. I feel the fees as per the facilities provided is excellent and for students of SC/ST it is even much less. This is why all the seats are full and students enjoy their life and time at the Sanskriti University.
Campus Life :
All the classes are so well tech enabled that it feels like we are studying technology. We have annual fests in the name called SPARK. Also we have a tech fest and sports fest too. Our infrastructure can give anyone a moment to think for as it is so deeply built keeping all the students interest in mind.
Admission :
You have to simply apply online and they will.give you date and time. You reach Sanskriti University and a counsellor will take you to the lab where you have to give the mock test of the university. If the score is within the cut-off, immediate admissions or you have to wait.
Faculty :
Almost 8-10 faculties are there per semester for 52 students. So every semester the ratio in 1:6 or at max it is 7. Definitely my favourite is Kajal Mam who is our machine learning head and she will be with us throughout our course.
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