MSc Artificial Intelligence for Medicine and Health
- MSc
Overview
AI is set to transform the future of healthcare innovation, from disease diagnosis and therapeutic development to patient management. Become part of the future of medicine and health by training in a vibrant, cutting-edge AI environment. This programme offers a unique opportunity to lead in one of medicine's fastest-growing fields.
Programme highlights include:
- Cutting-edge curriculum: explore advanced AI uses in diagnostics, treatment planning and biomedical research, alongside the key ethical, legal, and regulatory considerations of AI in healthcare.
- Expert-led teaching and mentorship: learn from biomedical researchers, AI specialists and industry professionals. Receive mentorship throughout your studies.
- Practical, applied learning: build hands-on experience through lectures, seminars, interactive practicals and case-based activities, enhanced by industry guest speakers and real-world case studies.
- Interdisciplinary collaboration: with students from healthcare, life sciences and engineering, study a curriculum tailored to diverse academic backgrounds.
- Collaborative, future-focused design: co-developed by the Medical School and the School of Engineering, Mathematics and Technology (SEMT), fostering cross-disciplinary problem-solving to address real-world healthcare challenges.
- Flexible learning options: choose between one-year full-time or two-year part-time study formats, ideal for working professionals. Options 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?
- World-leading research excellence: Bristol Medical School was ranked 7th globally for research quality in clinical subjects by the Times Higher Education World University Rankings 2026.
- AI University of the Year 2024 (National AI Awards): we are 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 national facility for AI research. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some computer time on Isambard-AI.
- Prime location and industry links: based at the new Temple Quarter Enterprise Campus, offering strong business connections for real-world knowledge, networks, and career-ready skills, with additional access to services and facilities at the vibrant Clifton Campus.
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 will take a deeper dive into AI use in a clinical setting.
- Life scientists will learn informatics and analytical skills.
- Engineers / Computer Scientists will 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.
Visit our programme catalogue for full details of the structure and unit content for our MSc Artificial Intelligence for Medicine and Health.
Entry requirements
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 two year's work experience that demonstrates upskilling in Machine Learning with strong interest in advancing Medical AI (e.g. Health Technology Industry or startup settings, Policy setting, Public Health etc.) Full time or part time equivalent is acceptable
- a relevant postgraduate qualification.
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 C.
Further information about English language requirements and profile levels.
Fees and funding
- Home: full-time
- £15,400 per year
- Home: part-time (two years)
- £7,700 per year
- Overseas: full-time
- £30,100 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
Spärck AI scholarship
The Spärck AI scholarship is a UK government-funded programme offering full funding for master's study in artificial intelligence, including tuition fees and a tax-free stipend. Applications for 2026 are now closed, but will open again in early 2027.
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 (e.g. the 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