Find out more about our MPhil/PhD in Statistics.

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P-G4P0

MPhil/PhD

4 years full-time;
Up to 7 years part-time

30 September 2024

Statistics

University of Warwick

Warwick invites you to join our PhD/MPhil 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 Computational, Methodological and Applied Statistics, Data Science, Mathematical Finance and Probability. 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.

The Department of Statistics, together with the Mathematics Institute at Warwick, have created the Warwick Centre for Doctoral Training (CDT) in Mathematics and Statistics to train the next generation of researchers that will lead the fields of Mathematics and Statistics in the future. This is a major investment from the University of Warwick that includes a number of funded fellowships (see scholarships and funding section). Unlike many CDTs, this is not dedicated to a single topic, but covers the range of research interests of both departments. Our vision is to create a thorough training environment in mathematical sciences, spanning theoretical, methodological, and applied areas. Both Departments have separate dedicated training programmes in the first year, designed to optimally prepare you for your PhD project work.

For the CDT in Statistics, 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 of 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. Applicants who apply for funding from one of the University's scholarship schemes (the Chancellor's International Scholarship or the China Scholarship Council Award) must develop a research proposal in close collaboration with a potential supervisor and are strongly encouraged to contact the department well before applying.

Teaching and learning

The Centre for Doctoral Training (CDT) in Mathematics and Statistics is a four-year program that includes a taught component in the first year with modules aimed specifically at research students. These modules are assessed by coursework and oral examination.

Term one modules, `Milestones in Probability and Statistics’ and `Statistical Frontiers’, are core for all students in the Statistics CDT. They are designed to give you an overview of all research areas and activity in the department, while developing skills such as collaborative work and academic writing and presentation. They aim to give you breadth of knowledge and awareness of research questions and methodologies across all areas of Probability and Statistics.

In term two, you will choose a minimum of two modules from `Graduate topics in Probability’, `Graduate topics in Statistics’, `Graduate topics in Computational Stochastics and Machine Learning’ and `Graduate topics in Applied Probability and Mathematical Finance’. Each topics module consists of three 10h lecture blocks presenting an advanced graduate topic within the corresponding area, taught by an expert. Topics can vary from year to year. By term 2, you will be expected to have some idea of the research area you want work in and term 2 modules are designed to give you in-depth preparation in that area. It is also possible to take additional training outside the Statistics Department (e.g. Mathematics Department, Doctoral College) or the University (e.g. Academy for PhD Training in Statistics or appropriate Summer Schools), as required.

An important part of the research training is the first-year project, which will be conducted from the start of term three until the end of August. You can choose your project from a long list of proposals by potential project supervisors in a wide range of topics. You are also encouraged to discuss and co-create projects with potential supervisors in their research area. Often this project will be the prelude to the actual PhD research.

You may participate in the Academy for PhD Training in Statistics (APTS), a UK-wide network that offers residential intensive taught courses four times per year. Alternative training is also offered to you if you work in Probability or Mathematical Finance.

Warwick Statistics Department is one of the largest and most energetic research environments in the UK. It boasts many internationally recognised researchers eager to engage new bright students and collaborators so that they can contribute to their programmes of investigation.

Research within the department can be conveniently divided into five areas, which are somewhat distinct but present a lot of synergies:

• Probability
• Mathematical Finance
• Computational Statistics and Machine Learning
• Statistical Methodology and Theory
• Applied Statistics

Applicants are not expected to identify a PhD supervisor before applying.

You are expected to join the Centre for Doctoral Training in Mathematics and Statistics which commences with two terms of taught modules. Once you are embedded in the department and have seen the range of opportunities on offer, you will choose your first-year project with a project supervisor. Usually, this will naturally lead on to a PhD project with the same supervisor and you will commence your PhD project work in earnest at the start of year two.

An exception to this rule occurs when the PhD is funded by a competitive scholarship that requires a supervisor to be identified and a project to be developed at the time of application (e.g. The Chancellor's International Scholarship or the China Scholarship Council Award). In this case we recommend that you provide a list of 2-4 potential supervisors as part of your personal statement. It will help to look carefully through the list of active research interests in the Department. The admissions tutors may match you with a supervisor, based on the areas of interest in your personal statement, to support you in the development of a project proposal for the scholarship application.

2:1 undergraduate degree (or equivalent) in Statistics, Mathematics or a science with sufficiently high mathematical content.

• Band A
• IELTS 6.5 (with no less than 6.0 in all components).

There are no additional entry requirements for this course.