Proud Acharya student

Faculty
4.0
Placement
5.0
Course
4.0
Campus
5.0
College
4.0

Course Curriculum Overview

4

Curriculum is revised and is very effective in preparing us for real world applications. We are taken on industrial visits to know the actual environment of work area. Practical exams help in practical learning. There are few online exams each month and 3 internlas and one final exam every semester. They are easy to moderate in difficulty

Placement Experience

5

From 7th semester students are eligible for placements. Companies like Infosys ,hp, 24/7 ai come for placements. Average package is around 4lpa . Around 50% of students gets placed. My plan is to get placed in college or get into reputed companies outside

Fees and Financial Aid

Year wise fee for govt Kota is 1 lakh per year. Bus fee is 10000 for 6months for distance below 5kms. Ssp scholarship is available and we get around 15000 to 20000. For private Kota it is around 4lakhs .

Campus Life

5

Fests are held 2 times a year and are help typically in the month of June or July . Library has variety of books . All departments have libraries. Smart board is available within the classroom. Different co curricular clubs like dance singing sports are available.

Admission

I applied to rnsit bit vit but dint get them because of low cet score. I got this college through counselling and admission is simple . Exam most preferred for admission is cet and there is also ncc Kota

Faculty

4

There are more faculty and they are available to students all the time and are very kind.i like all faculty.there is no one I don't like. There are 3 internals theory and practical in each semester and one final exam theory and practical in each semester. Around 10% fail to clear

Night Life

5

Gym is present in hostel . cafeteria are there inside campus. It is tasty as well as affordable. Hostel is open from 6am to 6pm . Lot of students stay in hostel. Other pgs are also available near the college.

Other Applied Colleges

RNS Institute of Technology - [RNSIT] | Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning)

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