IILM University Greater Noida Bachelor of Technology [B.Tech] Computer Science and Engineering - Artificial Intelligence and Machine Learning in collaboration with IBM: Fees 2026, Course Duration, Dates, Eligibility

Ans. This programme keeps the full computer science core but adds a structured stack of artificial intelligence and machine learning courses. Students take electives in deep learning, neural networks and computer vision, and apply them in projects, which a general CSE degree covers more briefly. The dedicated AI electives are sequenced so that foundational machine learning is covered before students attempt the more advanced deep learning modules. Group projects are common, so students also practise the collaboration and code-review habits expected in professional engineering teams. Coding contests on campus sharpen problem-solving through the year.

Ans. Admission is open through JEE Main, CUET-UG or the institutional IILMEEE test. Candidates submit any one valid score, and the application is followed by a personal interview before a merit-based offer is made. Keeping more than one valid score ready improves a candidate’s chances, since IILM considers the best available result during the merit assessment. Each accepted exam is treated on its own merit, so a strong score in any one of them is sufficient to be considered. Applicants are guided through document checks during admission.

Ans. The total tuition is INR 11.00 Lakhs for four years, billed at INR 2.75 Lakhs per year. Hostel charges of INR 1,42,000 per year are separate, and IILM merit scholarships can lower the net tuition for high scorers. Annual billing spreads the cost across the four years, and the early bird concession rewards students who confirm their seats in the first admission window. Education loans are accepted, and the structured fee schedule makes it easier for families to plan the four-year commitment. A clear annual fee schedule is shared before enrolment.

Ans. The curriculum covers Python, machine learning frameworks, data structures and databases alongside specialised topics like deep learning, natural language processing and computer vision. Lab work uses real datasets so students build a working portfolio of AI projects before graduating. Lab assignments draw on open datasets in vision and language so that graduates can demonstrate working notebooks rather than only theoretical knowledge. Model deployment basics are introduced so graduates understand how a trained model is taken from a notebook into a usable service. Project reviews give students regular feedback on their AI work.

Ans. Graduates target roles such as machine learning engineer, data scientist, AI developer and software engineer. The Delhi NCR location gives access to product firms and IT companies, and the AI focus helps candidates stand out for analytics and intelligent systems roles. Proximity to the Noida technology corridor means recruiters from analytics and product teams regularly visit the campus during the placement season. The campus placement cell arranges internships from the second year, letting students test their AI skills in a real workplace early. Placement preparation includes aptitude and technical interview practice.

Ans. For students committed to AI careers it adds value, since the specialised electives and projects build job-ready skills. Those still exploring computing broadly may prefer the general CSE track, which keeps options open across software roles at the same fee. Students who enjoy building software but are unsure about AI can still join, as the strong CSE core keeps general developer roles fully open to them. The core covers operating systems, networks and databases, so graduates remain employable across the wider software industry too. An orientation week introduces the tools used across the course.