Engineering is a discipline dedicated to problem solving and improving the world around us. Our students combine science and mathematics with creativity in design to develop new products, processes and structures.
Why study with us
Facilities and location
Mechanical and manufacturing laboratoriesLocated in Queen's Buildings
Our mechanical and medical engineers can use our labs to gain practical skills in testing and diagnostics, and they can access a wide range of 3D printing technologies.
Electrical power system simulatorLocated in Queen's Buildings
Our electrical and electronic engineering students can use our labs to get a real feel for working on a power grid, including setting up, running and testing simulations of a power system.
High voltage laboratoryLocated in Queen's Buildings
Our electrical and electronic engineers can use our extensive facilities to improve their understanding of high voltage systems and phenomena, from the National Grid to alternative insulation gases to lightning strikes on aircraft.
Civil engineering laboratoriesLocated in Queen's Buildings
Our civil, environmental and architectural engineers can use our labs to gain practical experiences in water-based designs, such as pipes, and understand and test concrete and its properties.
Cardiff Racing paddockLocated in Queen's Buildings
We provide support, facilities, and ample space for the Cardiff Racing team to build, design and work on racing cars for the Formula Student event.
A taste of studying engineering
Watch our taster lectures to get a taste of our approach to teaching and try out some of the exciting topics you might study.
Our student experience
Explore Cardiff University
To ask us any questions submit our enquiry form and we will answer you as soon as we can.
Source: Higher Education Statistics Agency, latest Graduate Outcomes Survey 2019/20, published by HESA in June 2022.
Copyright: Contains HESA Data: Copyright Higher Education Statistics Agency Limited 2022. The Higher Education Statistics Agency Limited cannot accept responsibility for any inferences or conclusions derived by third parties from its data.