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About the course
Course overview
The PhD/MPhil course is Statistics is delivered by the CDT in Statistics. Unlike many CDTs, this is not dedicated to a single topic, but covers the range of research areas within probability and statistics, to include theoretical and applied probability, mathematical finance, statistical machine learning, computational, methodological, and applied statistics. Our vision is to create a thorough training environment that allows you to develop both depth and breadth of knowledge and skills and fosters innovative and interdisciplinary thinking. We have a dedicated training programme in the first year, designed to optimally prepare you for your PhD project work and opportunities for continuing development through the years.
Entry Requirements
2:1 undergraduate degree (or equivalent) in Statistics, Mathematics or a science with sufficiently high mathematical content.
Please see website for more details.
Fees
See website for programme fees.
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