menu icon
Book your open day visit nowClick to book open day
UKRI Centre for Doctoral Training in Biomedical Artificial Intelligence MScR

UKRI Centre for Doctoral Training in Biomedical Artificial Intelligence MScR

Different course options

Full time | The University of Edinburgh | 1 year | SEP

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Arts & Crafts / Communication / Performing Arts Teaching / Training

Course type


Course Summary

The UKRI Centre for Doctoral Training in Biomedical Artificial Intelligence grows from the realisation that AI technologies will play a central role leveraging data to transform our understanding and practice of biomedicine. 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 CDT offers an interdisciplinary training programme 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.


This course provides students on the UKRI CDT in Biomedical Artificial Intelligence with the opportunity to learn the challenges of clinical data modelling directly through guest lectures by leading clinicians who collect and analyse complex biomedical datasets.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

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.

Similar courses at different universities