PhD in Statistics PhD

The University of Bath, founded in 1966 on Claverton Down in Bath, United Kingdom, combines a compact campus with a strong reputation for research and teaching excellence. With about 19,041 students and more than 6,000 international students, Bath is well regarded across national rankings and is known for high-quality science, engineering and management programs. The university's Royal Charter underpins academic autonomy and an ambition to strengthen its global position among leading research-led institutions.

Teaching and research are treated equally at Bath, with practical placements and employer links central to the student experience. The university offers nearly 293 programs across undergraduate and postgraduate levels, emphasising applied research with measurable impact. Strong industry partnerships mean many degrees include year-long placements or internships, helping students build professional networks and improve employability. Research centres focus on advanced engineering, health and sustainability, and cross-disciplinary projects provide international collaboration opportunities and graduate research roles.

Life in Bath blends historic architecture and modern campus facilities, and the city offers a welcoming environment with good transport links to London and the southwest. Support services for international students include orientation, language help and visa guidance, while active student societies and labs foster a collaborative community. Accommodation options range from halls to private housing, and prospective international applicants should explore scholarships, placement options and the careers service early to plan a strong application.

About the Statistics PhD

The Statistics PhD at the University of Bath is a research-focused programme designed for students aiming for careers in academic or industrial research. Students engage in cutting-edge scientific inquiry while receiving expert supervision within the Department of Mathematical Sciences.

Specialised Research Areas

The programme offers supervision in diverse statistical disciplines, including:

• Computational Statistics: Bayesian nonparametrics, MCMC methods, and nonparametric regression.
• High-dimensional Statistics: Graphical models, network analysis, and time series analysis.
• Medical Statistics: Clinical trials, missing data, and survival analysis.
• Spatial and Environmental Statistics: Extreme value and spatial data analysis.
• Statistical Learning: Changepoint detection, classification, and clustering.

Graduates from this programme have successfully moved into prestigious roles at major international organisations including the Met Office, Barclays Capital, Pfizer, and various global academic institutions.