PhD Mathematics at University of Staffordshire

Programme overview

The PhD in Mathematics is a research degree in which the student undertakes an in-depth research project under a supervision team. It can be studied full-time or part-time, on campus or by distance learning.

Faculty: Engineering, Technology and Environment | Intake: September, January and April | Study mode: Full-time, on campus; Part-time, on campus; Full-time, distance learning; Part-time, distance learning | Location: Stoke-on-Trent, England, United Kingdom

What you will study

Students carry out an independent research project with a supervision team, with access to the University's research training and professional development support. Traditional PhDs are usually self-funded, although funded studentships may be advertised for some projects.

Official programme page

Application information

Entry requirements

PhD: normally a minimum 2:1 undergraduate degree and a masters-level qualification, or equivalent professional experience, assessed on the application form, research proposal and interview. International applicants: IELTS Academic 6.5 overall with no less than 6.0 in each band (some disciplines may require higher); a valid ATAS certificate where required; UKVI study visa requirements apply. Applications start with an enquiry and informal conversation about the proposed research; applicants then submit a research proposal, two references (preferably academic or workplace) and transcripts, and attend a formal interview (can be by video link). Courses commence in September, January and April.

Requirements published at program group level.

Domestic applicants: GBP 5,100 a year (2026/27). Full-time PhD home fee; part-time is 2,550 per year Source

International applicants: GBP 17,500 a year (2026/27). Full-time PhD international fee; part-time is 8,750 per year Source

Intake: September, January and April

Apply through the official page: https://www.staffs.ac.uk/research/postgraduate-research/how-to-apply

Explore more study programmes

STEM