GL Bajaj B.Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Ans. The branch shares the institute’s strong IT recruiter base, with companies such as TCS, Infosys, Wipro, Cognizant, Capgemini, and Accenture hiring regularly. The highest package reached INR 57 LPA while the average stood near INR 4.50 LPA. Students who build strong coding portfolios, complete internships, and clear aptitude rounds tend to secure better roles. Product firms and analytics teams also visit for niche AI profiles.

Ans. The total tuition for the four-year course is INR 4,21,800, charged at INR 1,05,450 per year under the standard AKTU fee. Hostel and mess are billed separately and are optional for day scholars. UP domicile students may claim state fee reimbursement subject to family income criteria, which can substantially reduce the net cost over four years.

Ans. Admission is based on a valid JEE Main score followed by UPTAC counselling conducted by the state. Candidates must register for counselling, fill and lock branch and college choices, and accept the allotted seat by merit rank. After allotment, students report to the institute for document verification and fee payment to confirm the seat before classes begin.

Ans. Yes. Machine learning, deep learning, and data analytics rely heavily on mathematics, statistics, and programming. Students comfortable with linear algebra, probability, and Python adapt faster to the coursework. The curriculum includes dedicated labs and projects that build these practical skills from the first year onward, so consistent early effort makes the advanced AI subjects much easier to handle. Students from non-mathematics backgrounds can catch up with bridge tutorials and peer study groups during the initial semesters.

Ans. The campus sits in Greater Noida within the NCR technology belt, close to Noida and Delhi IT hubs. This location helps with internships, industry visits, guest lectures, and recruitment drives by both service and product technology firms. Proximity to corporate offices also makes it easier for students to attend off-campus interviews and build professional networks during the degree.

Ans. Students aiming for higher study get exposure to research-style capstone projects, faculty mentorship, and preparation guidance for GATE and graduate admission tests. For placements, the institute runs aptitude training, soft-skill sessions, and mock interviews. Students who maintain steady grades, build a project portfolio, contribute to coding platforms, and engage in technical clubs usually stand out during campus drives and convert interviews into final offers, while the AI and ML foundation also suits postgraduate specialisations in data science. Early exposure to internships and hackathons further sharpens practical readiness for the recruitment season.