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Warwick Centre for Doctoral Training in Mathematics and Statistics
The Warwick Centre of Doctoral Training (CDT) in Mathematics and Statistics is a collaboration between the Mathematics Institute and the Department of Statistics which started in 2019. General information about this CDT can be found here.
In October 2023, the Department of Statistics launched a new training programme, building on the experience of the past few years, which aims to provide appropriate training for all entrants across Statistics, Probability and Mathematical Finance, balancing breadth and depth. The training consists of a core taught component and the ability to select among a number of additional optional training options, as appropriate.
Core taught component
- Milestones in Probability and Statistics (term 1): a module that aims to expose students to the whole breadth of probability and statistics, through the discussion and presentation of seminal papers and their impact on the wider subject. Students will be trained in reading research papers, working in groups, and presenting research ideas, whilst developing an appreciation of the importance of cross-fertilisation among different disciplines.
- Statistical Frontiers (term 1): consisting of 1h presentations on a number of research topics by relevant academics, aiming to introduce students to the research areas active in the department.
- Graduate Topics Modules (term 2): students will be expected to choose at least two Graduate Topics modules, each module consisting of three 10h graduate-level lecture courses, with themes covering the broad spectrum of research interests in the department (e.g. applied and methodological statistics, data science, machine learning, probability and mathematical finance). Details of topics will be decided in the summer before the cohort arrives, taking into consideration the interests of the incoming cohort.
- Research Integrity training.
- Graduate Teaching Assistant Training.
- Mini-project (term 3 and summer): students can choose from a wide selection of mini-projects covering the whole spectrum of probability and statistics