MSc Artificial Intelligence for Medicine and Health

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.

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. A relevant postgraduate qualification.