Electrical and Computer Engineering

Why pursue this

• Build strong foundations in intelligent systems — Digital Electronics, Signal Representation and Processing, Principles of Communication Engineering, and Embedded Systems Hardware provide the core building blocks of modern electronic and computing platforms.
• Develop hardware–software co-design skills — microcontrollers, FPGAs, and reconfigurable systems, highly valued in semiconductor design, embedded systems, robotics, and IoT.
• Gain exposure to AI and emerging technologies — electives in Artificial Intelligence & Machine Learning, Reconfigurable Computing, and Quantum Computing prepare students for future technology domains.
• Adopt a systems-level perspective — integrating sensing, computation, communication, and intelligence, an essential capability for designing autonomous, connected, data-driven systems.

What you'll come out with

• Model and analyse signals, systems, and digital logic as building blocks of intelligent electronic systems.
• Design and evaluate communication and networking solutions for connected and distributed systems.
• Develop embedded and reconfigurable hardware–software systems using FPGAs, microcontrollers, and accelerators.
• Build and deploy AI/ML-based solutions for data-driven and autonomous engineering applications.
• Use modern design, simulation, and development tools across electronics, including semiconductor/VLSI, computing, and AI domains.
• Integrate emerging technologies such as reconfigurable and quantum computing into end-to-end system designs.