Data Science (Social Analytics) (Taught)

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 (Social Analytics) 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 social analytics.

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.

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.