SGT University B.Tech CSE (AI & ML) FAQs
Ques. Does SGT University accept JEE Main scores for B.Tech CSE (AI & ML) admission, or is there a separate entrance test?
Ans. SGT University primarily accepts JEE Main scores for B.Tech admissions and uses them for merit-based seat allocation. However, the university also offers direct merit-based admission based on Class 12 PCM percentage for students who have not appeared in JEE Main. There is no separate university-level entrance test for this course. Students can apply directly through the admission portal and attend a personal interview as part of the selection process. This makes SGT University relatively accessible compared to institutions that mandate JEE Main qualification.
Ques. What is the actual fee I need to pay in the first year, and are there any hidden charges?
Ans. At the time of admission, you will need to pay approximately INR 2,93,000 for the first year. This includes the first semester tuition fee of INR 1,25,000, a one-time refundable caution deposit of INR 10,000, and a one-time charge of INR 2,500 for the brochure and dress. From the second semester onwards, each semester fee is INR 1,25,000. There are no major hidden charges, but students should budget separately for hostel (INR 1,40,000 per year, optional), mess/food charges, and any elective lab or certification fees that may be introduced during the course.
Ques. Is the AI & ML specialisation at SGT University a separate course or just a stream within B.Tech CSE?
Ans. The AI & ML specialisation is a stream within the broader B.Tech in Computer Science and Engineering program. The first two years cover common CSE fundamentals such as programming, data structures, operating systems, and computer networks. From the third year (Semester V) onwards, students take specialisation-specific subjects including machine learning algorithms, deep learning, computer vision, natural language processing, and AI ethics. The degree awarded is B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning), which clearly mentions the specialisation on the degree certificate.
Ques. How are placements for B.Tech CSE students at SGT University, and which companies recruit specifically for AI/ML roles?
Ans. Based on student reviews and available placement data, approximately 70-80% of B.Tech CSE students at SGT University get placed through campus drives. The average package for CSE graduates ranges between INR 3-5 LPA, with the highest package reported at around INR 40 LPA (university-wide). Top recruiters include Wipro, Infosys, TCS, Tech Mahindra, Amazon, Microsoft, Capgemini, Cognizant, Deloitte, and Goldman Sachs. For AI/ML specific roles, students have been placed as Machine Learning Engineers, Data Analysts, and AI Developers. The university's tie-ups with Apple and IBM labs also provide internship and pre-placement opportunities in tech roles.
Ques. Can I get a scholarship if I have scored 85% in Class 12? How much will I save on fees?
Ans. Yes, if you have scored 75% or above but below 90% in Class 12, you are eligible for a 50% tuition fee waiver in the first year. This means you save INR 1,50,000 (50% of INR 3,00,000 annual tuition) in Year 1. From Year 2 onwards, a continuation scholarship of up to 25% on tuition fee is available if you maintain 75%+ aggregate in university exams and 80% attendance. Additionally, girl students get an extra 5% concession on tuition fee. Scholarships are applied only on tuition fee and not on hostel or other charges.
Ques. What is the difference between B.Tech CSE (AI & ML) and B.Tech CSE (AI & Future Technologies) at SGT University?
Ans. SGT University offers two AI-focused B.Tech programs. The B.Tech CSE (AI & ML) is a conventional specialisation within the standard CSE program, focusing on machine learning, deep learning, and data science. The B.Tech CSE (AI & Future Technologies) is a newer, industry-integrated program developed in collaboration with Kalvium, with admission based on the KNET entrance test and an annual fee of INR 3,00,000. The AI & Future Technologies program has a stronger industry-integrated curriculum with live projects from Day 1, while the AI & ML specialisation follows the traditional university curriculum with lab-based learning. Students should choose based on their preference for structured academics versus industry-integrated learning.

















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