Course summary
Learn how to select and apply mathematical models and techniques to biological data on this Master's course. You'll discover how computational and theoretical modelling is essential to our understanding of how organisms function and how diseases progress. You'll also build your familiarity with machine learning and its applications in biomedical engineering research. Through a series of modules and an extended research project, you'll explore how developments in computational capabilities can offer us more advanced insights into a range of biomedical engineering problems. Regular seminars and workshops with guest speakers from different bioengineering specialisms will also provide you with opportunities to broaden your understanding of current research in the field. Teaching is shared across our South Kensington and White City campuses. This includes the Sir Michael Uren Biomedical Engineering Hub, our new centre of MedTech innovation.
- Biomedical Engineering streams
- Biomaterials
- Biomechanics and Mechanobiology
- Computational Bioengineering (this stream)
- Medical Physics
- Neurotechnology
Entry requirements
2:1 in an engineering, physical sciences or mathematical subject. We also accept a wide variety of international qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ