Electronic and Electrical Engineering

Electronic and electrical engineering with artificial intelligence combines two of the most transformative technical fields of the current era. Electronics and electrical engineering underpin the hardware that makes computation possible, from the circuits in every connected device to the power systems that deliver electricity to homes and industry. Artificial intelligence adds the intelligent behaviour that increasingly characterises the systems built on that hardware, from autonomous vehicles and robotic systems to smart grids and medical diagnostics.

Engineers who understand both the physical layer and the intelligent layer are exceptionally well positioned in a technology landscape that increasingly blurs the boundary between the two.

At Brunel University London, this three-year, full-time programme is accredited and develops strong analytical and innovative skills for careers in electronics, electrical power and control, and communications engineering. The AI specialisation integrates machine learning, neural networks, and AI systems design with the core electrical and electronic engineering curriculum, preparing you to work at the intersection of hardware and intelligent software. You will have opportunities to work on hands-on projects and contribute to externally funded research and industry-based work.

The programme includes a foundation year for those who need additional preparation, and a year abroad to broaden your academic and professional horizons.

A typical entry tariff of 120 points reflects an accessible admissions threshold for a technically demanding programme. Graduates go on to careers in autonomous systems, robotics, AI hardware development, telecommunications, power engineering, medical technology, and the broad range of industries where electrical and electronic systems are combined with intelligent behaviour. The combination of hardware and AI expertise is among the most sought-after in the current technology sector.

Many graduates pursue professional registration as a chartered engineer or continue to postgraduate study in AI, robotics, or electronic engineering.