Centre for Doctoral Training
Statistics
Centre for Doctoral Training (CDT)
Funding
10+ fully-funded PhD Studentships available
International Reputation
One of the world's top Statistics departments* with expertise over a broad range of research areas, producing world-class research**
Research Culture
60+ pioneering academics with expertise over a huge range of research areas
*27th QS World University Rankings by Subject 2026: Statistics & Operational Research. **Research Excellence Framework 2021.
The Warwick Centre for Doctoral Training (CDT) in Statistics is a thriving PhD programme with over 60 students from around the globe, providing a vibrant, diverse and stimulating community, pushing the boundaries of research.
We work closely with other CDTs, including but not limited to Mathematics, Computer Science and HetSys.
CDT Programme
CDT students participate in a structured programme of training in the first year. They attend a number of core modules and a variety of other training activities to help them prepare for PhD research in later years.
Fees & Funding
For a PhD in Statistics there are several "regular" competitive sources of funding for students, many of which pay for academic fees plus a contribution to the living expenses of successful applicants. A list the main sources of funding can be found here.
How to Apply
We welcome applicants from all backgrounds and especially encourage students from underrepresented groups to apply.
Why Warwick?
The University of Warwick has one of the largest Statistics departments in the world, with a thriving PhD program and a long-established reputation for research activity of the highest quality, enhancing both the PhD-student experience and the demand for our PhD graduates.
Further Training Opportunities
There are regular seminars, reading groups and workshops to engage in throughout the year, discussing cutting edge research topics. Seminars are open to everybody, and PhD students are particularly encouraged to take part.
Open Days
Register for one of our Open Days to learn more about the Statistics CDT and meet staff and current PhD students. Both online and in-person options available.