Postgraduate research degrees in mathematical sciences
Find out about our PhD degrees, funding opportunities and how you can apply.
Mathematical sciences PhDs (full or part time)
The Department of Mathematical Sciences is offers fully funded PhD studentships across its 6 main research groups of Algebra & Geometry, Analysis, Applied & Interdisciplinary Mathematics, Numerical Analysis & Scientific Computing, Probability, and Statistics. Interdisciplinary research includes the areas of data science, machine learning, image processing, the mathematics of networks, and industrial mathematics.
The Department of Mathematical Sciences at Bath is one of the UK's leading research groups. In the 2014 Research Excellence Framework, 88% of our research was rated world leading/internationally excellent.
There is a strong culture of inclusion and mutual support within the Department and we value diversity. Postgraduate students are able to access a variety of training courses, are encouraged to attend international scientific meetings, and have the chance to work collaboratively with people across the Department, other scientific areas, industrial partners, and international groups.
More information on broad research themes can be found through our research group pages:
How to apply
Our students are funded through a variety of sources, including competitively through the EPSRC Doctoral Training Partnership allocation to Mathematical Science, a partnership with the Heilbron Institute, and the University of Bath.
You can see full details on applying for a PhD at Bath or follow the links to get straight to the application form.
Centre for Doctoral Training in Statistical Applied Mathematics
PhDs in statistical applied mathematics are delivered through SAMBa and are for five years (four years funded), with the first year consisting of taught courses, training in problem formulation, and research skills. You will be part of a large cohort of students and during your first year, will explore opportunities for research and scope your own PhD project, possibly in collaboration with researchers outside of the department.