IILM University Gurgaon Answered Questions

The eligibility criteria for B.Tech. in Computer Science and Engineering (AI & ML) at IILM University differ for reserved category candidates. They must have a minimum of 45% marks (instead of 50% for general category) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together, and must pass without any grace marks.

IILM University has a moderate level of strictness when it comes to the eligibility requirements of B.Tech. in Computer Science and Engineering (AI & ML). The eligibility criteria include a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together, and candidates must pass without any grace marks.

The candidate should pursue the Science stream, with Physics and Mathematics as compulsory subjects, and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) to be eligible for admission to the B.Tech. in Computer Science and Engineering (AI & ML) at IILM University.

The eligibility criteria to seek direct admission for the B.Tech. in Computer Science and Engineering (AI & ML) course at IILM University is as follows:- Candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university.- A minimum of 50% marks (45% for SC/ST/Reserved candidates) is required in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.- Candidates must pass without any grace marks.

The cafeteria and food situation at IILM University, Gurugram generally receives positive feedback for variety, affordability, and hygiene—though occasional concerns arise:Cafeteria Infrastructure & VarietyThere are multiple cafeterias (3 on campus) that are spacious, hygienic, and well-equipped with Wi? Fi and modern seating. Students frequently describe the canteens as “affordable and tasty” dining options on campus .One student highlights a popular spot between the admin block and girls' hostel that serves excellent starters .Food Quality & HygieneOverall ratings reflect that the food is “decent, ” “tasty, ” and “affordable”, worthy of a 4–5 star rating by many campus reviews .Hygiene standards in the cafeterias and mess are considered good, with clean, well-maintained dining areas .Occasional IssuesSome reviews mention that while mess food in hostels is “good in taste, ” it can become crowded during peak hours.A notable incident reported in Noida campus involved a worm in bhel puri, prompting a government notice—a serious reminder of occasional lapses. The university claims corrective actions have been taken

The IILM University offers admission to the B.Tech. in Computer Science and Engineering (AI & ML) course based on the following criteria:- Candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university.- A minimum of 50% marks (45% for SC/ST/Reserved candidates) is required in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.- Candidates must pass without any grace marks.

To get a seat in IILM University for B.Tech. in Computer Science and Engineering (AI & ML), candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together. Candidates must pass without any grace marks. The programme focuses on the theory, design, development, and application of AI and ML technologies, and it is designed to prepare students for careers in fields related to artificial intelligence, machine learning, data science, and analytics.

IILM University has a strong and supportive alumni network that continues to benefit students even after graduation. With over 9,000 alumni spread across more than 30 countries, the network offers valuable professional connections, job referrals, mentorship, and career guidance. Many alumni actively engage with the university by mentoring students, delivering guest lectures, and participating in placement activities. Regular alumni events and workshops further strengthen these bonds, creating lasting relationships and a sense of community. This network serves as a vital resource for graduates, offering career support, industry insights, and opportunities for professional growth well beyond their time on campus.