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The Department of Intelligent Systems at IIT Kanpur offers an interdisciplinary undergraduate degree that combines core engineering fundamentals with modern topics in artificial intelligence, machine learning, robotics, control, and cyber‑physical systems. The curriculum blends rigorous coursework in mathematics, computer science, and electrical engineering with hands‑on laboratory work and project‑based learning to train students in building smart, autonomous, and trustworthy systems. Students gain practical experience through well‑equipped labs, industry internships, and opportunities to collaborate with active research groups at the institute, while modules on safety, ethics, and societal impact prepare them to deploy responsible AI solutions. Graduates are expected to be well-positioned for careers in research, product development, and entrepreneurship across sectors such as robotics, autonomous vehicles, healthcare, IoT, and data‑driven services, or for advanced study in premier institutions.
B.Tech. in Intelligent Systems (BTIS), DIS, IIT Kanpur
1. What is the B.Tech. in Intelligent Systems?
The B.Tech. in Intelligent Systems is a multidisciplinary engineering program designed to train students in the development of real-world AI-driven systems. The curriculum includes, but is not limited to, Machine Learning, Big Data Analytics, Natural Language Processing, Computer Vision and Pattern Recognition, Optimisation and Control, Pervasive and Mobile Computing, Cybersecurity, Software Engineering, Human-Computer Interaction, and robotics.
2. Why has IIT Kanpur introduced this program?
IITK launched this new program with industry input that there is significant demand for professionals well-trained to develop AI-driven systems. This program will train students in all aspects of developing such systems, starting with mathematical foundations and progressing to theoretical and system development.
Students will be eligible for major MNCs dealing with AI-driven software and cyber-physical systems/ robotics.
3. Is Intelligent Systems the same as Artificial Intelligence (AI)?
Intelligent Systems (IS) is broader than AI: AI refers to algorithms and models for learning from data (ML, NLP, vision, etc.), while IS focuses on building complete, useful systems that leverage those methods. IS covers two complementary classes: AI‑driven software systems (domain chatbots, recommenders, fraud detection, face/voice recognition, etc.) that integrate models into scalable products and workflows, and embodied systems (robots, autonomous vehicles, drones, etc.) that combine sensing, perception, planning, control, and real‑time hardware–software integration. Both rely on AI methods, but software systems emphasize data pipelines, infrastructure, and user/domain integration, whereas embodied systems add sensor fusion, control, and safety constraints. Our academic program, spanning both, prepares students to design end‑to‑end solutions across the software and physical domains.
4. How is this department different from Computer Science and Engineering (CSE)?
Computer Science is the discipline that studies computation, algorithms, and information processing, both the theoretical foundations (e.g., algorithms, complexity, logic) and practical systems (software, hardware, networks) that implement computation. Artificial intelligence is considered one specialization within computer science, among many. IIT Kanpur’s Intelligent Systems (IS) program builds on core computing and AI foundations but is distinct from conventional Computer Science in its application‑oriented, systems‑level focus: IS integrates AI models into AI‑driven software products and workflows (domain chatbots, recommender systems, biometrics, fraud detection) and combines machine learning and AI with sensing, perception (camera/LiDAR), control theory, embedded/real‑time systems and hardware–software co‑design to build embodied agents (robots, drones, autonomous vehicles). While CSE emphasizes algorithms, theory, large‑scale software, and systems engineering, IS focuses on data-driven system development with end‑to‑end integration — turning AI models into deployed, safety‑aware systems. As the program has a systems focus, most courses include hands‑on labs, and the curriculum includes course-embedded and interdisciplinary projects. IS students get earlier and deeper exposure to AI/ML-driven software development skills as well as core concepts of embodied AI, such as sensors and actuators, system dynamics and control, and deployment challenges, preparing them for roles in autonomy, robotics, embedded AI, industrial automation, and applied AI product teams, or for advanced study in applied machine learning and embodied AI. In short, CSE gives broad computing depth, whereas IS trains students to design, build, and deploy intelligent solutions that operate in real‑world, uncertain environments.
5. What is the curriculum of the program?
Detailed curriculum documents are available at:
https://www.iitk.ac.in/dis/btech
6. Is the curriculum approved by the IIT Kanpur Senate?
Yes. In addition, the new department and the school were enthusiastically approved by the BoG IITK in 2025.
7. Is the Department of Intelligent Systems an independent department?
Yes. The Department of Intelligent Systems (DIS) is an independent academic department of IIT Kanpur. Students admitted to this program receive a B.Tech. degree from IIT Kanpur, just like students in any other department.
8. Since the program is new, should students be concerned?
No. The program has been carefully designed based on extensive academic planning and industry feedback. It leverages IIT Kanpur's strengths in computer science, electrical engineering, mechanical engineering, economics, mathematics, and AI research while introducing several new courses specifically tailored to intelligent systems engineering.
9. How are the faculty members in DIS?
The Department of Intelligent Systems has a highly qualified faculty with expertise spanning AI, machine learning, algorithms, robotics, control systems, optimisation, computer vision, data science, and intelligent decision-making.
Faculty profiles are available at:
https://www.iitk.ac.in/dis/faculty
10. What kind of learning experience can students expect?
Most of our core courses have a lab component, and the higher-level elective courses have a project component. The students can expect to learn the fundamental concepts through hands-on experiments and advanced concepts through assignments and projects. The students may opt for multiple semester-long undergraduate projects where they will apply their knowledge acquired through various courses to solve a challenging problem in this field. The students will have opportunities for internships at top companies in the field and renowned academic institutions, preparing them further for industrial positions and higher studies.
11. How will placements compare with other engineering branches?
Placement outcomes depend on multiple factors, including student performance, industry trends, and company requirements. However, the curriculum has been designed to align with areas of strong industry demand, particularly in AI-driven software systems, intelligent automation, robotics, and advanced engineering technologies. WSAIS and DIS are already getting enthusiastic requests, from some companies, to get access to our students for internships and placements.
12. What opportunities are available for higher studies?
Our B.Tech students will be eligible to pursue postgraduate studies in any department that offers programs in artificial intelligence, robotics, and related areas. Recently, many renowned institutes in India and abroad have created such a department. They will also be eligible for a PhD in computer science and engineering, and in electrical and computer engineering, as some subfields within computer science and engineering, such as machine learning, computer vision, and natural language processing, and within Electrical Engineering, such as robotics and control, optimisation, will be thoroughly covered in our B.Tech curriculum.
13. What is the difference between a Major-Minor and a Double Major?
Major + Minor
- Complete a major in one discipline and a minor in another.
- Typically completed within the standard 4-year B.Tech. duration.
Double Major
- Complete the requirements of two major programs.
- Typically requires an additional year and is completed over 5 years.
Specific eligibility requirements and academic regulations are governed by IIT Kanpur's academic policies.
14. Will students have the flexibility to explore courses outside the department?
Yes. IIT Kanpur's academic structure provides students with opportunities to take electives, pursue minors, participate in interdisciplinary projects, and explore courses offered by other departments, subject to institute regulations and prerequisites.
15. Will students from batches admitted before AY 2026–27 be eligible to opt for the Dual Degree/Minor/Double Major programme in the Department of Intelligent Systems?
No. The Dual Degree/Minor/Double Major programme options in the Department of Intelligent Systems are being introduced for students admitted to IIT Kanpur from the Academic Year 2026–27 onwards. Students from earlier batches are not eligible for these options.