About Computer Systems Engineering, BEng - at University of Sheffield

Study mathematics, control, embedded systems and programming, then advance to system design, security and intelligent systems. Learn to design optimised hardware/software for computing, sensing, IoT, AI, telecoms and autonomous systems, with applied projects building career-ready skills.

Create the technologies that power modern life – from mobile phones and autonomous vehicles to smart infrastructure, medical systems and aviation. This degree combines electronics, computer engineering and systems design, giving you the knowledge and skills to shape the future of intelligent systems.

Designed with input from industry and informed by world-leading research, the course provides a strong foundation in electronics, computing and complex electro-mechanical systems, while developing hands-on expertise in programming, circuit design and intelligent systems engineering.

You’ll complement theory with practical experience, using industry standard hardware and software in facilities such as our Electronics and Control Lab, Teaching Cleanroom, Computer Labs, and iForge Makerspace. You’ll learn through lectures, tutorials, labs and projects, working individually and collaboratively.

In Year 1, you will develop essential knowledge and skills across areas such as systems modelling, computing and artificial intelligence, electronics and electromagnetics, while also gaining experience in teamwork and applied project work.

Year 2 builds on this foundation by deepening your understanding of design, control, communications, embedded technologies and hardware–software integration, supported by further studies in mathematics and electronics.

In the final year, you will undertake a substantial practical project and choose a specialist pathway aligned with your interests. Options include microelectronics, focusing on areas such as semiconductors, integrated systems, and signal processing; or software and artificial intelligence, where you will explore topics such as robotics, sensing, optimisation, and machine learning.

Our graduates are highly sought-after by leading companies such as ARM, Imagination, Jaguar Land Rover, Siemens, Rolls-Royce, Nissan, National Grid and BAE Systems, as well as consulting firms and global organisations. Whether your goal is industry, research, or entrepreneurship, this course equips you with the skills, experience and professional network to succeed in electronics, computing and intelligent systems engineering.

This course is accredited by the Institution of Engineering and Technology (IET), the Institute of Measurement and Control and the Engineering Council UK.

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Entry requirements for this course

Contact University of Sheffield to find course entry requirements.

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