Artificial Intelligence for Biomedicine and Healthcare MSc
London, Bloomsbury
This is the programme information for 2025 entry
Study mode
UK tuition fees (2025/26)
Overseas tuition fees (2025/26)
Duration
Programme starts
Applications accepted
Applications open
Applications open
About this degree
This interdisciplinary MSc provides foundational AI training with a focus on its biomedical and healthcare applications.
Designed for graduates in fields such as computer science, life sciences, and engineering, this programme enables you to become a skilled AI practitioner ready to tackle real-world challenges in biomedicine and healthcare.
UCL Computer Science, renowned for its pioneering role in AI, offers an interdisciplinary approach that connects you with experts across biomedical, clinical, social sciences, and humanities fields.
Studying in London, the AI Growth Capital of Europe, further enhances your learning experience.
Our programme provides a unique learning environment, opening doors to careers and entrepreneurial opportunities in biomedicine and healthcare. From disease diagnosis and treatment to drug discovery and resource allocation, AI is transforming the delivery of healthcare worldwide. As part of this programme, you’ll have the opportunity to apply your skills to real-world problems.
Who this course is for
This programme is ideal for you if you are a graduate in computer science, mathematics, statistics, physical or life sciences, medical sciences, or engineering. It suits those who enjoy problem-solving and are eager to design and deploy AI solutions to transform medical care and improve patient outcomes.
What this course will give you
This programme offers you the following benefits and opportunities:
- Recognition from a top-ranked university: UCL is consistently ranked among the best universities globally (ranked 9th in the QS World University Rankings 2025), providing you with a prestigious qualification that is highly regarded by employers worldwide. UCL was also named The Times and Sunday Times University of the Year 2024.
- High-quality education from leading experts: Learn from world-renowned academics who are at the forefront of computer science and AI innovation. UCL Computer Science is recognised for its research excellence, ranked first in England and second in the UK for research power in Computer Science and Informatics in the most recent Research Excellence Framework (REF 2021).
- Practical experience: Work on a dissertation project with an industry partner, applying your AI skills to solve a real-world problem in biomedicine or healthcare.
- Ethical AI expertise: Engage in the growing conversation on the ethics and social responsibility of AI, helping to shape the future of the field.
- Academic, NGOs and industry connections: Leverage UCL’s strong links with organisations like UNESCO, the NHS, Google, and innovative start-ups, gaining real-world problem-solving experiences and industry insights.
- Enhanced research skills: The programme’s research components will develop your analytical and problem-solving abilities, preparing you for potential doctoral studies or research-intensive roles in industry.
Making an impact
Case study: Monitoring brain changes to diagnose dementia
Our research has pioneered important improvements to brain volume measurement techniques, to make processes more efficient and robust
The foundation of your career
The integration of AI into healthcare is creating new roles and expanding the need for specialists who can bridge the gap between technology and clinical practice.
With the skills acquired from this programme, you’ll be well-positioned to pursue a variety of career paths, including AI development, data science, healthcare innovation, and AI-driven biomedical research.
The different lecturers and tutors that you can speak to and you can have teaching from is very varied and everyone has a very strong academic background. So having been taught by some of the leading specialists in specific areas is always incredibly interesting.
Employability
Graduates of this programme bring a range of relevant skills and knowledge to future employers, with the ability to work as a high-level AI practitioner within multidisciplinary teams.
You’ll have a strong foundational knowledge of AI’s technical aspects and developed a creative mindset for applying AI to opportunities and challenges in biomedicine and healthcare. Your dissertation will demonstrate your solution-focused technical abilities and competence in communicating effectively with clinical and non-clinical stakeholders.
Networking
You’ll have regular opportunities to connect, collaborate and network with peers and members of academia and industry as part of your Master’s, particularly through collaborative project work and research seminars.
- As a student and later as a graduate, you will have access to the UCL Careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.
- UCL also has a large number of clubs and societies, such as the AI Society, which can be an effective way to connect with peers who share similar interests and career goals.
- Be part of a university where entrepreneurial minds thrive. Our academic and industrial networks provide a safe and supportive environment if you want to grow your own company.
- London’s Tech scene is vibrant and has regular networking events.
Where you'll study
UCL Computer Science boasts state-of-the-art facilities that are designed to enhance your learning experience. Our recently renovated labs, with 55 high-performance PCs, ample laptop space, and versatile power options, create an optimal study environment. UCL East is home to our Intelligent Robotics Lab, a hub of innovation and cutting-edge technology. Facilities include the new Innovation Lab, which combines a computer cluster, advanced manufacturing equipment (such as 3D printers, laser cutters, and power tools), and an electronics manufacturing and testing area, all within a single space. The lab also features a motion capture system for conducting experiments on robot and human movement. Additionally, UCL boasts an award-winning Student Centre and 18 specialist libraries, ensuring you have access to top-tier resources and study spaces.
Visit us
Online - Open day
Graduate Open Events: Computer Science (Afternoon)
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Join us for a live online event with our Head of Department and Computer Science team, sharing useful admissions advice, careers support and how you can benefit from our industry links. You’ll also hear from our students about studying here and ask questions. We will host two sessions on Wednesday, these are exactly the same and repeated to cater to people in different time zones.
Online - Open day
Graduate Open Events: Computer Science (Evening)
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Join us for a live online event with our Head of Department and Computer Science team, sharing useful admissions advice, careers support and how you can benefit from our industry links. You’ll also hear from our students about studying here and ask questions. We will host two sessions on Wednesday, these are exactly the same and repeated to cater to people in different time zones.
Roberts Cafe, Roberts Engineering Building, Torrington Place, London WC1E 7JE - Open day
Graduate Open Events: UCL Faculty of Engineering Sciences
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At UCL Engineering, our graduates turn discoveries into solutions - improving medical treatments, housing, transportation, the products, processes and students we produce change the world. Visit us on campus and get your questions about postgraduate study at UCL answered by our leading academics, current students, and admissions advisors. You'll also take part in Bloomsbury campus tours, and enjoy department-specific demos, visits, taster lectures, and facility tours!
Got questions? Get in touch
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