Advanced Quantitative Methods in Social Sciences PhD

This pathway is for social scientists who wish to learn advanced quantitative methods and apply them appropriately to answer particular substantive questions from their discipline. It's also well-suited to statistically trained researchers whose interests are more methodological.

You'll be part of a group of social scientists interested in interdisciplinary research involving the application of quantitative methods from one discipline (for example economics) to problems in another (for example politics).

Projects may involve applying statistical methods used in other disciplines to social science problems, or developing novel statistical methods for analysing social-science data.

This programme includes a significant piece of research aimed at enabling you to contribute to the academic community through a large written thesis (typically up to 90,000 words).

For interdisciplinary pathways the Lead Supervisor will be from the applicant’s home institution and the second supervisor must be from a different discipline (a different sub-discipline is not sufficient; however, the second could still be from the same institution but a different discipline). The Lead and Second Supervisors must be employed at one of the SWDTP’s partner institutions – Bath, Bristol, Exeter, Plymouth or UWE Bristol.

You'll benefit from insights from a number of disciplines and research groups, including social and policy sciences, economics, psychology and health.