All India Shri Shivaji Memorial Society's Institute of Information Technology Kennedy Road Pune Answered Questions

To get a seat in AISSMS Institute of Information Technology for B.Tech in Computer Engineering, you need to follow these steps:
1. Check the eligibility criteria: The candidate should have passed 10+2 with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject.
2. Appear for entrance exams: The admission to B.Tech courses is based on the scores obtained in MHT-CET or JEE Main.
3. Register for counseling: After the declaration of results, register for counseling on the official website of DTE Maharashtra.
4. Fill choices: Fill your preferences for colleges and courses during the counseling process. Make sure to add AISSMS Institute of Information Technology as one of your preferred colleges.
5. Seat allotment: Based on your rank and filled choices, you will be allotted a seat in the institute if available.
6. Document verification and admission: Once you are allotted a seat, visit the institute for document verification and complete the admission formalities.
Note: The intake capacity for B.Tech Computer Engineering is 180, with 15% seats reserved for OCI/PIO/FN & Gulf Quota.

The eligibility criteria for admission to AISSMS Institute of Information Technology for B.Tech in Computer Engineering are as follows:
- The candidate should have passed the HSC (10+2) examination from a recognised board with Physics, Mathematics, and Chemistry/Biotechnology/Biology/Technical Vocational subjects.
- The candidate should have obtained a minimum of 50% marks (45% for reserved categories) in the above subjects.
- The candidate should have appeared for the MHT-CET/JEE Main examination.
- The admission is based on the merit list prepared by the DTE, Maharashtra, considering the scores of MHT-CET and JEE Main.
- The intake capacity for B.Tech Computer Engineering is 180 seats, with 15% reserved for OCI/PIO/FN & Gulf Quota.

Yes, AISSMS IOIT has a highly experienced, qualified, and supportive faculty. Many hold PhDs and have 10–20 years of teaching experience across AI, ML, networks, security, IoT, and more. Student reviews highlight professionalism, modern teaching styles, and personalized attention. Overall, the faculty is well-regarded and experienced.