University withheld until you unlockunlock below to reveal · Full-time
Data Science (Mathematics)
The inexorable rise of the digital world, driven by rapid AI development, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in…
MSc1 yearFull-time
Browse computer science courses in UK
School of Social Sciences · Computing
The inexorable rise of the digital world, driven by rapid AI development, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of sport, medicine, space exploration and more. Our MSc Data Science (Mathematics) course prepares you for a successful career in this high-demand field. You’ll develop invaluable abilities in key area’s such as: - data analysis; - project design; - computational methods; - data stewardship. See a full list of mandatory and optional course units below. If you're looking to specialise in the technical and computational side of data science, our course is well-suited to meet your needs. You will focus on the data techniques and uses that are most relevant to mathematics. We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data. By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, and in AI.
Getting in
As the university states it
High 2:1 honours degree (or overseas equivalent) You are expected to have an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra. In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; computational subjects; and pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. Please see our application and selection page for more detailed information.
Worth reading next
Bachelor's in Computer Science: The Complete Guide
A complete guide to Computer Science degrees — what you study, entry requirements, real graduate outcomes, cos…
Studying in the UK: The Complete Guide for International Students
A complete guide to studying in the UK — universities, costs, the Student visa, scholarships and the Graduate…
Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.