B. Tech. in Cyber-Physical Systems

Modern industrial and societal systems are increasingly defined by the tight integration of computation, physical processes, and human interaction. This program is designed for engineers who will build and govern these interconnected systems where software decisions directly influence physical outcomes in real time.

Cyber-Physical Systems operate at the intersection of embedded computing, real-time control, sensing, communication networks, and intelligent decision-making. In such environments, system failures are no longer purely digital—they manifest physically across manufacturing lines, transportation systems, energy grids, healthcare devices, and autonomous infrastructure.

This program prepares engineers to design systems that are continuously aware, adaptive, and resilient. Students learn how to model physical processes digitally, simulate real-world environments through digital twins, and deploy intelligent control systems that operate under strict timing, safety, and reliability constraints.

The learning pathway progresses from foundational engineering and computation into embedded systems, real-time operating systems, industrial IoT, and finally into large-scale cyber-physical ecosystems that include collaborative robotics, smart infrastructure, and human-integrated systems such as wearable and biomedical networks.

By the end of the program, graduates are capable of designing and managing Industry 5.0 systems that unify computation, hardware, and human-centric intelligence in real operational environments.

Key Highlights of the Program

• Integrated design of computation, physical systems, and human interaction layers
• Hands-on development of real-time embedded and industrial control systems
• Digital twin modeling and simulation of complex industrial environments
• Exposure to Industrial IoT systems including sensors, PLCs, SCADA, and edge networks
• Training in CPS security, resilience, and fault-tolerant system design
• Collaborative robotics and adaptive production system engineering
• Introduction to Internet of Bodies (IoB) and wearable biomedical systems
• Deployment of full-stack intelligent systems in real-world industrial environments

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