Statistics Doctor of Philosophy - PhD
Course Overview - Statistics Doctor of Philosophy - PhD
**Warwick invites you to join our MPhil/PhD course in Statistics. Study at Warwick's Statistics Department, one of the leading research centres for Statistics worldwide, covering a wide range of topics in theoretical and methodological Statistics and its interdisciplinary applications, computational Statistics and machine learning, foundations of AI, theoretical and applied Probability, and Mathematical Finance. You will be trained as a well-rounded researcher through the training programme delivered by the Centre of Doctoral Training (CDT) in Statistics. You will conduct cutting ed...
**Warwick invites you to join our MPhil/PhD course in Statistics. Study at Warwick's Statistics Department, one of the leading research centres for Statistics worldwide, covering a wide range of topics in theoretical and methodological Statistics and its interdisciplinary applications, computational Statistics and machine learning, foundations of AI, theoretical and applied Probability, and Mathematical Finance. You will be trained as a well-rounded researcher through the training programme delivered by the Centre of Doctoral Training (CDT) in Statistics. You will conduct cutting edge, innovative research under the supervision of one or more faculty members that are experts in the corresponding research area.\
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The MPhil/PhD 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, in theoretical and methodological Statistics and its interdisciplinary applications, computational Statistics and machine learning, foundations of AI, theoretical and applied Probability, and Mathematical Finance. 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.
For the CDT in Statistics, first-year training is split into two parts: a common core, aiming to provide you with an overview of research topics and activity in all areas represented within the department as well as to develop fundamental research skills and an optional core, allowing you to choose from a wide range of advanced graduate modules, designed for PhD students. This optimally prepares you for the specialised work of the PhD project under the supervision of individual faculty members. You will choose your supervisor and research topic during the first year of the programme. PhD training that is not via the CDT and where the student works with a nominated supervisor from day one is available only in cases where this training scheme is required by the student’s funding source.
Further details of research interests of faculty members and potential PhD projects can be found on individual staff web pages.
Applicants to the CDT do not need a detailed research proposal. However, it will help to indicate your areas of interest in your personal statement, noting that there is no commitment to stay within that area.
Course Information
2 option s available
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Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
2027-10-01
Campus
Main Site
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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