SSGI B.Tech CSE AI ML FAQs
Ques. What is the difference between B.Tech CSE and B.Tech CSE with AI and ML at SSGI?
Ans. The B.Tech CSE AI and ML programme at SSGI includes core computer science subjects along with specialised electives and labs focused on machine learning algorithms, neural networks, natural language processing, and data analytics. It is an emerging-specialisation track within the broader CSE family, affiliated to IKG PTU.
Ques. What is the total fee for B.Tech CSE AI ML at SSGI Pathankot?
Ans. The total fee for the 4-year B.Tech CSE AI ML programme is INR 4,83,000 across eight semesters. Hostel accommodation is available optionally at up to INR 45,000 per year and is billed separately.
Ques. Is JEE Main score required for B.Tech CSE AI ML admission at SSGI?
Ans. A JEE Main 2026 score is preferred for admission through IKG PTU counselling, but candidates who did not appear in JEE Main may apply under the direct merit route based on 10+2 aggregate, subject to seat availability and IKG PTU norms for the 2026-27 session.
Ques. What jobs can B.Tech CSE AI ML graduates get after SSGI Pathankot?
Ans. Graduates can pursue roles such as machine learning engineer, data scientist, AI developer, software analyst, or backend developer. Industries including fintech, healthcare IT, e-commerce, and IT services are typical employers for CSE AI ML graduates from IKG PTU-affiliated colleges.
Ques. Are scholarships available for B.Tech CSE AI ML students at SSGI?
Ans. Yes. SC/ST students may receive up to full tuition fee reimbursement through the Punjab Post-Matric Scholarship. BC/OBC students are eligible for up to INR 5,000 per year. Top merit students in 10+2 can apply for the Punjab Merit Scholarship of INR 10,000 per year.
Ques. How is the B.Tech CSE AI ML programme at SSGI structured over four years?
Ans. The B.Tech CSE AI ML programme at SSGI Pathankot is spread across eight semesters over four years under IKG PTU. The first two years cover computer science fundamentals including programming, data structures, mathematics, and digital systems. The third and fourth years introduce AI and ML electives such as neural networks, deep learning, computer vision, natural language processing, and a final-semester project where students develop an applied AI solution in a chosen domain.


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