MSc Artificial Intelligence for Medicine and Health
- MSc
Overview
Become part of the future of Medical and Health AI by training in a vibrant, cutting-edge AI environment. Located in the welcoming and dynamic international city of Bristol, this world-class programme offers a unique opportunity to lead in one of medicine's fastest-growing fields. AI is set to transform the future of healthcare innovation, from disease diagnosis and therapeutic development to patient management.
Programme highlights include:
- Interdisciplinary Collaboration: study alongside students from healthcare, life sciences, and engineering, with a curriculum tailored to diverse academic backgrounds.
- Expert-Led Teaching and Mentorship: learn from experts, biomedical researchers, AI specialists, and industry professionals. Receive mentorship throughout your studies.
- Practical, Applied Learning: engage in hands-on learning through lectures, seminars, interactive practicals, and case-based activities. Guest speakers from industry and real-world case studies deepen your insight.
- Cutting-Edge Curriculum: explore state-of-the-art AI applications in diagnostics, treatment planning, and biomedical research. Understand the ethical, legal, and regulatory dimensions of AI in healthcare.
- Collaborative, Future-Focused Design: co-developed by the Medical School and the School of Engineering, Mathematics and Technology (SEMT), the programme fosters cross-disciplinary problem-solving to tackle real-world healthcare challenges.
- Flexible Learning Options: choose between 1-year full-time or 2-year part-time study formats – ideal for working professionals. Option to study shorter PG Certificate (60 credits) or PG Diploma (120 credits), depending on your study goals.
No prior coding or AI experience is required. Units are designed to support learners new to AI, with teaching adapted to individual skill levels.
Why choose Bristol?
- Our world-Leading Research Excellence: Bristol Medical School was ranked #1 globally for research quality in clinical subjects by the Times Higher Education World University Rankings 2025.
- AI University of the Year 2024 (National AI Awards): the University of Bristol is recognised as a national leader in AI education and innovation.
- Home to the UK's Most Powerful AI Supercomputer: hosted by the University, Isambard-AI is the UK's most powerful AI supercomputer and 11th fastest in the world. It is a national facility for AI research and is designed to help solve some of the biggest problems in the world today. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some compute time on Isambard-AI.
Programme structure
Based at the new Temple Quarter Enterprise Campus, students can expect excellent access whether living locally or commuting. Our blended delivery allows for a mix of online and in-person teaching, while focused contact time for Health and Life Science streams is designed to support working professionals.
Core units will:
- cover the fundamentals/foundations of AI;
- help you gain confidence in applying and critically evaluating AI tools in medicine and health;
- address responsible innovation and adoption of AI tools for Health;
- explore the ethical, legal, and governance considerations surrounding AI.
Stream-specific units will complement your existing knowledge and skills:
- Health professionals – Deeper dive into AI use in a clinical setting;
- Life scientists – Informatics and Analytical skills;
- Engineers / Computer Scientists – Learn supporting skills for AI in Health.
Career development is embedded from day one, with sessions on job roles, planning, entrepreneurship. You'll also benefit from engagement with startups, industry leaders, and the University's Innovation Team.
Additional support will be provided as needed, tailored to each student’s background and individual circumstances.
Entry requirements
You will typically need an upper second-class honours degree or an international equivalent in Clinical-related degree such as Medicine, Dentistry, Veterinary Science, Pharmacy, Nursing, Occupational Therapy or other allied health professions. Or degree in Bioscience or science such as Neuroscience, Psychological science or Biology.
Degree in Engineering, Computer science, Technology or other Mathematics discipline.
We will also accept wider range of subjects related to Health study fields, such as Anthropology, Global Health, Health Management, Health Economics or Health Law.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional postgraduate qualifications in relevant subject or additional relevant work experience. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing:
- A minimum of 2 year's work experience that demonstrates upskilling in Machine learning with strong interest in advancing Medical AI (eg Health Technology Industry or startup settings, Policy setting, Public Health etc.) Full time or part time equivalent is acceptable.
See international equivalent qualifications on the International Office website.
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
If English is not your first language, you will need to reach the requirements outlined in our profile level B.
Further information about English language requirements and profile levels.
Fees and funding
- Home: full-time
- £14,900 per year
- Overseas: full-time
- £29,000 per year
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
More about tuition fees, living costs and financial support.
Alumni discount
University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.
Funding and scholarships
Further information on funding for prospective UK and international postgraduate students.
Career prospects
On completion of this programme you will:
- have learned to evaluate and implement emerging technologies responsibly;
- be ready to innovate across research, practice, industry, or policy;
- have addressed critical skills gaps in medical AI;
- have built strong technical and professional competencies.
This MSc is aligned with national priorities (such as the NHS 10-year plan) to upskill tens of thousands of AI professionals by 2030, supporting workforce (eg NHS) development and opening opportunities across public and private sectors.
Graduates will be well-positioned to lead in the fast-evolving field of medical AI, equipped not only with technical skills but also with the insights, networks and experience to drive meaningful change.
Contact us
- Contact
- Enquiries Team
- Phone
- +44 (0) 117 394 1649
- choosebristol-pg@bristol.ac.uk
- Faculties
- Schools