Entry requirements

A 2:1 undergraduate honours degree in a medical/life science (medicine, biology, chemistry, etc.) or quantitative science subject (computer science, mathematics, physics, etc.). Equivalent relevant work experience will also be considered for eligibility to enter the programme.

Months of entry


Course content

This Masters programme is aimed at graduates with interests in artificial intelligence, health data and advanced computational approaches in the clinical and biomedical space.

It will equip future health data scientists with the knowledge and skills to perform analyses and develop novel tools and methods for this rapidly growing field. It is aimed at students with diverse backgrounds from biomedical/medical domains, including clinical trainees, as well as computer science, mathematics and statistics to conduct their own analyses, and also to create the next generation of cutting-edge health data scientists who will be able to develop new tools and methods matching the latest technological advancements.
Students will learn about the breadth of health data science and its applications, and they will be taught how to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions. Students will also benefit from training in areas such as clinical bioinformatics, health informatics, epidemiology, clinical systems, integrated multimodal data analysis and omics analytics for health data science careers in academia, industry and national health services.

Information for international students

We accept a range of international qualifications - check via our website for specific requirements from each country.

English language requirements
IELTS 6.5 with no less than 6.0 in any band.
If you are made an offer of a place to study and you do not already meet the language requirement, you have the option to enrol on our English for Academic Purposes Presessional Course. If you successfully complete this, you will be able to fulfil the language requirement without needing to take a further qualification.

Fees and funding

UK students
International students
AI and Data Science Conversion Masters Scholarships
We are offering 120 awards of £10,000 to upskill UK students from non-STEM and far-STEM degrees to progress into the AI and Data Science workforce. Scholarship funding will be prioritised for women, Black students, disabled students and those from lower socioeconomic backgrounds, to ensure that AI reflects the makeup of our society. This scholarship is open to students with a 'home' fee status only.
The final deadline for applications is Monday 31 July 2023.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details