Artificial Intelligence for Biomedicine and Healthcare MSc
Learn how Artificial Intelligence (AI) can have a transformative effect on biomedicine and healthcare, through a unique interdisciplinary programme. This MSc enables you to develop complex technical skills and use them to craft forward-thinking biomedical and healthcare solutions powered by AI. Taught at UCL, an international home of AI breakthroughs and medical excellence, graduates of this programme will be equipped with sought-after specialist skills, ideal for a rapidly growing sector.
UK tuition fees (2023/24)
Overseas tuition fees (2023/24)
A minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, electrical engineering, or the physical sciences. Relevant work experience may also be considered. Additionally, applicants must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus. Evidence should be included within the application to demonstrate suitable mathematical skills (to at least A Level Mathematics standard), analytical skills and programming experience in a procedural language
The English language level for this programme is: Level 2
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.
About this degree
This MSc programme provides foundational AI training with a focus on the biomedical and healthcare applications of AI, enabling you to become a rigorous AI practitioner. The degree will give you fundamental critical skills and knowledge to make a difference within interdisciplinary biomedical and healthcare environments.
UCL Computer Science is renowned for its role in AI breakthroughs, such as being part of the development of AlphaGo – the first computer programme to defeat a professional human Go player. The interdisciplinary nature of the programme gives you opportunities to interact with experts from the biomedical and clinical sciences, as well as the social sciences and the humanities. Delivered in the heart of London, this programme also enables you to study in the AI Growth Capital of Europe.
A one-of-a-kind learning environment brings possibilities of future employment and entrepreneurial opportunities in AI within the biomedicine and healthcare sectors. To support this, you will have the opportunity to work with an industry partner through your dissertation, applying your skills and knowledge to solve a real-world problem in this field. From accurate diagnosis and treatment of diseases to drug discovery and healthcare resource allocation, AI is transforming the delivery of curative and preventative medicine worldwide. By joining us, you have the opportunity become part of the next generation of AI practitioners, with the ability to use technology to find creative solutions for biomedicine and healthcare.
Who this course is for
What this course will give you
Run by UCL Computer Science, a department recognised as a world leader in teaching and research and a noteworthy reputation in the AI world, the Artificial Intelligence for Biomedicine and Healthcare MSc offers an unparalleled education in this field.
The department was ranked first in England and second in the UK for research power in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2021.)
As well as being the global home of a number of AI breakthroughs, UCL Computer Science has links with United Nations Educational, Scientific and Cultural Organisation (UNESCO), the NHS, and Google, as well as small technology firms and innovative start-ups. Not only will you learn from experts in a variety of disciplines, you will also have the opportunity to work on a dissertation with an industry partner on a real problem in the medical world.
As well as learning about the technical side of AI and how to apply it in real life contexts, you will also become part of the growing conversation on the ethics and social responsibility of AI. This burgeoning element of AI is critical to the outlook of the technology, and as a future AI expert, you will help to shape and implement it.
The foundation of your career
As this is a new programme, alumni information is not yet available. However, we expect graduates of this programme to have the skills to work in big tech and small tech firms in any sector. The focus on biomedicine and healthcare in this degree will make you particularly suitable for roles in public sector and private sector big-pharma, biotech, and healthcare, as well as entrepreneurial roles in the world of biomedical and healthcare start-ups.
AI is becoming progressively more mainstream, opening up an emerging spectrum of niche opportunities. According to the UK Government National AI Strategy, the gap between the demand and supply of AI skills is significant and growing. Figures from 2020 show there was a 16% increase in online AI and data science job vacancies, yet 69% of those jobs were hard to fill. As a graduate of this MSc, you will have core skills in AI that will enable you to enter a broad range of employment.
As a graduate of the Artificial Intelligence for Biomedicine and Healthcare MSc, you will bring a range of relevant skills and knowledge to future employers, with the ability to work as a high-level AI practitioner within multi-skilled teams.
You will have gained a strong foundational knowledge of the technical aspects of AI that is critically needed by employers, from big tech companies to small start-ups. Building on this, you will have developed a creative mindset when it comes to these technologies and will have applied AI to a range of opportunities and challenges in biomedicine and healthcare. Through your dissertation, you will have demonstrated your solution-focused technical abilities and competence in communicating effectively with clinical and non-clinical stakeholders.
With the ability to blend foundational technological know-how with a critical mindset and applying it to the complexities of the medical world, you will graduate with a set of skills that are essential to maintaining the health and wellbeing of the population.
Teaching and learning
You will be assessed through a range of methods across the programme, including individual and group projects, written research reports, other coursework, programming tests, and a final research project/ dissertation. The dissertation is an opportunity for you to work on a specific topic that is of particular interest to you, supported by an academic supervisor. Many of our MSc dissertations are run in collaboration with our industry partners, which gives you the opportunity to work on an AI-powered solution to a real-world problem in biomedicine or healthcare.
Contact time takes a variety of forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).
Each module has a credit value that indicates the total notional learning hours a learner will spend on average to achieve its learning outcomes. One credit is typically described as being equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.
The contact time for each of your 15 credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters and will have the opportunity to access additional support via regular office hours with module leaders and programme directors.
Your research project/ dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.
The Artificial Intelligence for Biomedicine and Healthcare MSc is a one-year programme.
In term 1, you will learn the theoretical foundations of Machine Learning and Artificial Intelligence together with developing an understanding of their application in biomedicine and healthcare
In term 2, you will take hands-on modules where you will learn to apply the skills acquired in term 1 and begin preparation for your final research project/ dissertation.
In term 3, you will focus on any examinations that take place in the main examination period and undertake your final research project/ dissertation.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.
Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Artificial Intelligence for Biomedicine and Healthcare.
Fees and funding
Fees for this course
|Tuition fees (2023/24)||£18,000|
|Tuition fees (2023/24)||£35,000|
Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.
For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.
Funding your studies
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Deadline: 8 June 2023Value: £15,000 (1 year)Criteria Based on both academic merit and financial needEligibility: UK
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees.
When we assess your application we would like to learn:
- why you want to study Artifical Intelligence for Biomedicine and Healthcare at graduate level
- why you want to study Artifical Intelligence for Biomedicine and Healthcare at UCL
- what particularly attracts you to this programme
- how your academic background meets the demands of this challenging programme
- where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to elaborate on your reasons for applying to this programme and how your interests match what the programme will deliver.
Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.
Choose your programme
Please read the Application Guidance before proceeding with your application.
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