Course summary

Why choose this course Study a multi-disciplinary course combining expertise in informatics, artificial intelligence (AI), statistics, and the fields of epidemiological and biomedical, health and veterinary research Gain core informatic and AI skills to apply to global healthcare, biomedical and medical challenges Conduct a hands-on project that uses real-world data from large multidimensional studies such as UK Biobank Put theory into practice in our state-of-the-art facilities Champion our ‘One Health, One Medicine' approach. What you will study Our Health and Biomedical Informatics MSc will train you in developing and applying cutting-edge health informatics, bioinformatics and artificial intelligence (AI) technologies in biology, medicine and health. We’ll enable you to develop your quantitative, computational, and practical data analysis skills, while providing opportunities for further development of your professional skills. On this course, you’ll gain the knowledge and skills needed to manage and analyse large and diverse datasets across biomedical research and healthcare systems. You’ll study topics including data science, epidemiology, and the fundamentals of biomedicine and AI, whilst gaining important cross-cutting skills. Our course is structured around existing large data resources, giving you the unique opportunity to build a portfolio of experiences in real world data handling, analysis, and interrogation. Course content will be based on data from a number of resources, including the world-leading UK BioBank. It's important to understand where data emanates from in order to use it effectively. Within this course we teach the nature of omics techniques, electronic health records, and other methods followed by detail on how the data can be used correctly and appropriately. In addition to structuring practical sessions and module assessments on real-world health and biomedical data, we’ll also offer these data resources for specific and defined projects for your dissertation. All appropriate support will be offered to you to access data. You’ll be able to choose from a range of different dissertation project topics that will cover both quantitative and qualitative research, applying a variety of methodologies covered throughout the programme. Dissertation projects will be supervised by a team with the appropriate methodological and domain expertise from across the Faculty of Health and Medical Sciences, the Surrey Institute for People Centred Artificial Intelligence, and from partners such as local NHS trusts, the Institute for Animal Health at Pirbright, and Zoetis. Projects will be themed into: Precision medicine and personalised care UK Biobank data analysis Digital health and decision support.