IILM University Greater Noida B.Tech Robotics and Artificial Intelligence: Fees 2026, Course Duration, Dates, Eligibility

Ans. Both cover artificial intelligence, but Robotics and AI adds substantial hardware, control systems and autonomous-machine content. Students design and build robotic systems rather than focusing only on software, making it suited to those who want to combine engineering hardware with intelligence. The hardware focus means students spend significant time assembling, wiring and testing systems, not only writing code on a screen. Mechanical assembly, electronics and programming all feature, so the workload suits students who enjoy building tangible systems. Robotics seminars keep students aware of current research.

Ans. IILM admits students through JEE Main, CUET-UG or its institutional IILMEEE test. Applicants submit any one valid score and then attend a personal interview before a merit-based admission offer is issued for the four-year programme. Submitting more than one valid score is allowed, and the interview round then checks a candidate’s aptitude for the mathematics-heavy curriculum. Each accepted score is judged independently, so applicants only need one strong result to enter the merit list. Each accepted applicant is guided through document checks.

Ans. The total tuition is INR 8,00,000 for four years, billed at INR 2,00,000 per year. Hostel charges of INR 1,42,000 per year are separate, and IILM merit scholarships can reduce the net tuition for high scorers. Annual billing keeps the four-year cost predictable, and IILM merit awards can lower the first-year tuition for applicants with strong board results. Education loans are accepted, and the annual fee schedule makes the four-year programme easier to plan for. A transparent annual fee schedule is shared before enrolment.

Ans. Students work in a robotics and intelligent systems laboratory on machine learning, computer vision and autonomous decision-making projects. The degree culminates in a capstone build of a working robotic prototype, giving graduates a tangible engineering portfolio. Working in the robotics laboratory from early semesters helps students integrate sensors, controllers and machine learning models into a single prototype. Students often iterate their prototype across two semesters, learning to debug both the hardware and the control software. Lab access outside class hours supports prototype iteration.

Ans. Graduates target roles such as robotics engineer, automation engineer, AI developer and embedded systems engineer. The combination of hardware and artificial intelligence skills suits manufacturing automation, autonomous systems and research and development teams across industries. Automation demand across logistics, mobility and manufacturing means graduates can target growing sectors rather than a single traditional industry. Electric vehicles and smart factories are fast-growing employers that specifically seek robotics and AI skills. Placement preparation includes aptitude and technical practice.

Ans. Yes. Robotics and artificial intelligence rely heavily on mathematics, including linear algebra, probability and control theory. Applicants need Physics, Chemistry and Mathematics in Class 12, and comfort with quantitative reasoning helps students cope with the machine learning coursework. The first year revises core mathematics so that students from varied boards can keep pace once control theory and machine learning begin. Comfort with coding helps too, as students implement the machine learning models that drive their robots. An orientation week introduces the hardware and coding toolkit.