Computer Systems Engineering

Computer systems engineering with artificial intelligence addresses the challenge of building the physical and logical infrastructure through which AI systems operate. Computer systems engineering is concerned with the design and implementation of both hardware and software: the architecture of processors, memory, and communication systems, the embedded software that controls them, and the integration of components into functional computing systems. Adding artificial intelligence to this engineering foundation means you also develop expertise in the algorithms, data-driven techniques, and learning systems that allow machines to perform intelligent tasks.

This is a combination of growing importance as AI moves from software running on conventional servers into embedded systems, robotics, autonomous vehicles, and edge computing.

At Brunel University London, this three-year full-time BEng programme develops your capabilities across both domains. You will study digital systems, computer architecture, operating systems, and software engineering alongside the mathematical and algorithmic foundations of AI, including machine learning, data processing, and the implementation of intelligent systems on real hardware. The programme prepares you to design and build computing systems that are both technically robust and capable of intelligent behaviour, which is a genuinely distinctive skill set.

Graduates are well placed for careers in embedded systems engineering, hardware design, AI systems development, robotics, automotive and aerospace engineering, and the rapidly expanding IoT sector. The intersection of hardware knowledge and AI capability is increasingly valued by technology companies working at the edge of computing, where intelligence must be delivered in constrained physical environments. Postgraduate study in computer engineering, AI, or robotics is also an option for those who wish to specialise or move into research roles.