Health Data Science MSc

Discover how cutting-edge techniques are revolutionising medical research with UCL's Health Data Science MSc. This dynamic course immerses you in advanced computational methods in artificial intelligence and machine learning tailored for analysing large, complex biomedical data. You will gain the skills and expertise to drive innovations that enhance healthcare and medicine. Health Data Science is a rapidly expanding field with a vibrant job market, offering abundant opportunities for skilled health data scientists in both large organisations and innovative health start-ups. This course provides a deep dive into cutting-edge techniques that leverage the ever-growing biomedical data encompassing the health of diverse populations. You will master the skills to link, characterise and analyse complex datasets, such as electronic health records, and design and conduct sophisticated health research studies. The course integrates UCL’s world-class expertise across health informatics, health data science, clinical epidemiology, computer science, artificial intelligence, machine learning, and biomedical statistics. Guided by our renowned academics, you will gain invaluable insights into groundbreaking research at the forefront of this field. With UCL's strong connections to hospitals, health data science firms, MedTech companies, pharmaceutical companies, government agencies, and small and medium enterprises (SMEs), you will have ample opportunities to gain practical, industry-relevant experience, setting you up for a successful career. The course provides a good grounding in healthbiomedical statistics and scientific programming for data management and analysis, and no prior knowledge is assumed. Applicants should ensure that evidence of their readiness for this kind of training is clearly presented either through their educational history or in their personal statement. This programme is also available on a modular (flexible) basis, with a duration of 5 calendar years.

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year.