Course summary
A Statistics PhD allows graduates to participate in scientific research, often with a view to a career in academic or industrial research. The programme is suitable for students who wish to specialise in any of the areas of Statistics research in the department which are:
- Computational Statistics: Bayesian nonparametrics, Markov chain Monte Carlo methods, Nonparametric regression.
- High-dimensional Statistics: Graphical models, Network analysis, Time series analysis.
- Medical Statistics: Clinical Trials, Missing Data, Survival Analysis.
- Spatial and Environmental Statistics: Extreme value analysis, Spatial data analysis.
- Statistical Learning: Changepoint detection, Classification, Clustering.
- Doctoral skills online
- Doctoral skills workshop
- Research project
- Supervisory team
Modules
Please check the University of Bath website for the most recently published course detail.
Assessment method
- Thesis
- Viva Voce
Entry requirements
First or upper second-class honours degree, or equivalent in an appropriate subject. English Language requirements - IELTS: 6.5 overall with no less than 6.0 in all components - The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element - TOEFL IBT: 90 overall with a minimum 21 in all 4 components You will need to get your English language qualification within 24 months prior to starting your course. If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Bath
Claverton Down
Bath
BA2 7AY