University withheld until you unlockunlock below to reveal · Full-time
Data Science (Business and Management)
The inexorable rise of the digital world, driven by the rapid development of AI, 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 recogni…
MSc1 yearFull-time
Browse computer science courses in UK
School of Social Sciences · Computing
The inexorable rise of the digital world, driven by the rapid development of AI, 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 business, sport, medicine, space exploration and more. Our MSc Data Science (Business and Management) course prepares you for a successful career in this high-demand field by applying data to real business decisions. You will develop invaluable abilities in key area’s such as: - data analysis; - project design; - computational methods; - data stewardship; - business analytics. This course focusses particularly on the data techniques and uses that are most relevant to business and management, with optional course units exploring themes such as business creation and AI in finance. 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, business analysts and in AI- related roles. This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.
Getting in
As the university states it
High 2:1 honours degree (or overseas equivalent) For this pathway, we normally expect applicants to hold a degree in a quantitative or computational subject such as mathematics, statistics, management science or economics, physics, engineering or computer science. Applicants with extensive Business and Management industrial experience combined with an honours degree in a quantitative subject may also be considered for admission. 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.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.