From degrees in biomedical engineering to one-day professional courses, UCL offers a variety of education options in healthcare engineering and digital health.
Centres of Doctoral Training (CDTs)
UCL has four Centres of Doctoral Training within the healthcare engineering remit:
- EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging in Healthcare (i4health)
- EPSRC Centre for Doctoral Training in Bioprocess Engineering Leadership (Complex Biological Products Manufacture)
- EPSRC Centre for Doctoral Training in Transformative Pharmaceutical Technologies
- UKRI Centre for Doctoral Training in AI-enabled Healthcare
BEng and MEng in Biomedical Engineering
The UCL Department of Medical Physics and Biomedical Engineering is one of the largest of its kind in the UK. They offer a range of undergraduate and postgraduate programmes.
Engineering (Biomedical) BEng
This programme provides a grounding in the practical application of engineering principles to healthcare technologies.
Engineering (Biomedical) MEng
Building on the BEng, the additional year in this four-year MEng programme allows you to explore a broader spectrum of biomedical engineering and medical physics topics, and to further develop your transferable skills through project work.
UCL Life Learning is UCL's home for short courses and CPD.
Continue your education and learn from UCL experts by signing up for a course that suits your professional needs or personal interests. There are various opportunities available for learners from technical, clinical, managerial and administrative backgrounds.
Some relevant courses available on UCL Life Learning include:
|Harnessing Electronic Health Record for Research courses|
These courses address the ‘why’, ‘what and ‘how’ of electronic health record research and critically evaluate scientific opportunities and challenges.
They are intended for people from a range of backgrounds and career stages.
|Centre for Applied Statistics Courses (CASC)|
CASC provides short courses for anyone that requires an understanding of research methods and statistical analyses, to either interpret published research or undertake their own research studies.