EPSRC & MRC Centre for Doctoral Training

The EPSRC & MRC Centre for Doctoral Training (CDT) in Next Generational Statistical Science: the Oxford-Warwick Statistical Programme at the University of Oxford and the University of Warwick is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) and the Medical Research Council (MRC). The CDT aims to train the brightest graduate statisticians in the theory, methods and applications of Statistical Science for 21st Century data-­intensive environments and large-­scale models. This is the first centre of its type in the world and it will uniquely equip its students to work in an area that is in growing demand globally. 
The CDT will provide students with training not only in cutting-edge research methodologies, but also in the development of business and transferable skills – essential elements required by employers in industry and business. 
All students are based at the University of Oxford in their first year, before either continuing there or moving to the University of Warwick for the final three years. High calibre students, will be funded with an EPSRC grant for four years of study, depending on whether they meet the funding criteria. OxWaSP offers at least 10 funded doctoral studentships per year for Home and EU Students (split equally between Oxford and Warwick).
Please note that OxWaSP will not be accepting applications for entry to the programme in 2019.
On completion of OxWaSP you will be able to:
  • Understand the inferential challenges of 21st Century data-intensive environments
  • Appreciate the major scientific, industrial and societal applications of data -intensive statistics
  • Demonstrate a critical understanding of a wide variety of statistical methods
  • Understand the foundations of statistical inference and probabilistic models
  • Design and implement a study from data capture through to analysis and critical evaluation of evidence
  • Demonstrate self -motivation and originality in technical problem solving
  • Communicate effectively, both in writing and orally
  • Work effectively in teams, including across disciplines
  • Appreciate central issues in reproducible research, innovation, and entrepreneurship