Computational approaches to cancer research, including machine learning, digital pathology, spatial relationships and big data are changing the way we look at disease. This programme will introduce students to emerging digital technologies that are changing the future of cancer research and guide the next generation of researchers on how to interpret these data outputs.Why this programmeUtilise cutting-edge facilities, research and teaching experience at the University of Glasgow and Queen Elizabeth University Hospital.Take part in seminars from world-class leaders in the field.Benefit from partnerships with the NHS and industrial collaborators, including Bioclavis, Canon, Hamamatsu, Oracle Bio and Visiopharm.Learn at the cutting edge of advances in pathology and medicine, experiencing the changing landscape of these areas as they progress with an in-depth seminar series from industry leaders, hands on digital pathology work using Qupath and introduction to Vis and AI and visit the Glasgow Tissue Research Facility and Wolfson Wohl Cancer Research Centre.NHS and industry roles are increasingly incorporating digital pathology and AI approaches, and our programme offers a uniquely comprehensive training in these areas which can be found in few institutes in the UK.Career prospectsThis programme will provide an excellent foundation for careers in computational biology or bioinformatics in both industry and academic settings, as well as biomedical science roles within the NHS, or research science roles across multiple sectors.Training throughout this programme and during the research project will provide students with both the theoretical and practical skills required for these sectors, as demonstrated by our close links with both NHS and industry partners.In addition, undertaking this MSc programme offers students with an excellent grounding for proceeding to doctoral study in these areas.