Delivering such a step change will require training a new cadre of scientists operating at the intersection of computer science and biomedicine, building AI systems which are effective, ethical and empowering to scientists and users alike.
The University of Edinburgh offers the interdisciplinary training programme in UKRI Centre for Doctoral Training in Biomedical Artificial Intelligence covering technical AI skills, biomedical foundations and individually tailored training on understanding the societal aspects of Biomedical AI. It builds on a collaboration between several centres of excellence within the University with a long history of collaboration: the School of Informatics, the School of Biological Sciences, the MRC Institute of Genetics and Molecular Medicine, the Usher Institute of Population Health Science and Informatics, and the School of Social and Political Sciences. Together, these institutes provide a unique breadth and depth of expertise, as well as state-of-the-art computational and experimental facilities, to support the CDT cohorts.
Additionally, leading clinical, industrial and international academic partners will provide students with opportunities for hands-on application in a broad variety of contexts.
Career opportunities for CDT graduates are broad and favourable. Biomedical AI is expected to be a sector of particular growth in the near to medium term, as highlighted in several governmental reports (Industrial Strategy, Life Sciences Industrial Strategy, etc) as well as major industrial players (Association of British Pharma Industry, Glaxo-Smith-Klein strategic report 2018). According to the EU patent office, the Med-Tech sector filed the largest number of new patents in 2017 than any sector.
- This programme involves a larger element of research than conventional masters: out of 180 credits, 120 are awarded for project work. The programme will launch with a week-long bootcamp, in which you will visit the participating institutes, get to know potential supervisors and participate in workshops and cohort-building activities.
- You will take 60 credits worth of taught modules on AI, biomedical sciences and responsible research and innovation. The precise split between these three areas will depend on your background. The CDT team will provide you with advice on choosing the training modules, as well as support throughout.
- You will also complete two sizeable projects: a group project worth 20 credits on a data modelling challenge set by a collaborating lab or industrial partner, and an interdisciplinary individual project worth 80 credits (your main MSc project).
- 12 months
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesBio & Biomedical Engineering Artificial Intelligence Genetics View 223 other Masters in Genetics in United Kingdom
- A UK 2.1 honours degree, or its international equivalent, in computer science, mathematics, physics, engineering or a related discipline.
- Applicants with UK 2.1 honours degrees, or its international equivalent, in biomedical science are also considered.
- Applicants coming directly from a bachelors or masters degree are welcome.
International28000 GBP/yearTuition FeeBased on the tuition of 28000 GBP per year during 12 months.
Home fees have still to be agreed
Living costs for Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.