Statistics PhD

**A Statistics PhD allows graduates to participate in scientific research, often with a view to a career in academic or industrial research.**<br/><br/>The programme is suitable for students who wish to specialise in any of the areas of Statistics research in the department which are:<br/><br/><br/>- Computational Statistics: Bayesian nonparametrics, Markov chain Monte Carlo methods, Nonparametric regression.<br/><br/><br/>- High-dimensional Statistics: Graphical models, Network analysis, Time series analysis.<br/><br/><br/>- Medical Statistics: Clinical Trials, Missing Data, Survival Analysis.<br/><br/><br/>- Spatial and Environmental Statistics: Extreme value analysis, Spatial data analysis.<br/><br/><br/>- Statistical Learning: Changepoint detection, Classification, Clustering.<br/><br/><br/>PhD graduates from the Department of Mathematical Sciences have progressed to a broad selection of careers including prestigious academic positions all over the UK, the rest of Europe and North America, as well as industrial positions in companies such as:<br/><br/>UK Met office, Commerzbank, Barclays Capital, Detica, Liverpool-Victoria Actuarial Division, PfizerAstraZeneca, NHS Medial, Physics, GazProm, Sun Alliance, Smith Institute, Schlumberger, Tessella, Roche, Royal Bank of Scotland, UBC, and BeZero Carbon.<br/><br/>You may start this programme at any time. Most students start in September. <br/><br/>**Programme content**<br/>**Learning**<br/>- Doctoral skills online<br/><br/><br/>- Doctoral skills workshop<br/><br/><br/>- Research project<br/><br/><br/>- Supervisory team<br/><br/><br/>**Research content**<br/>You will be led to the cutting edge of mathematics and statistics research and learn the latest methods and techniques in the field.<br/><br/>Postgraduate students are offered a variety of training courses and are encouraged to attend international scientific meetings. In addition to local courses, both subject specific and with a view to transferable skills, students can benefit from our cooperation with other institutions, in particular the Mathematics Taught Course Centre and the Academy for PhD Training in Statistics.<br/><br/>**Professional Development**<br/>Professional development is a crucial element of doctoral study, not only in supporting your research but also as part of your longer term career development. Our DoctoralSkills workshops and courses will help you build your skills and help you succeed in your doctorate.