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University of Warwick: Statistics
| Institution | University of Warwick View institution profile |
|---|---|
| Department | Statistics |
| Web | https://warwick.ac.uk/ |
Doctor of Philosophy - PhD
Summary
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 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.
Course overview 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, 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.
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. 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.
This information is applicable for 2026 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
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 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.
Course overview 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, 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.
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. 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.
This information is applicable for 2026 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
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.
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 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.
This information is applicable for 2025 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
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.
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 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.
This information is applicable for 2025 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
MSc
Summary
Available as an MSc, Warwick’s Statistics course aims to cover topics most relevant to a career as a professional statistician. Your training will open the way to employment in many sectors, including marketing, insurance, banking and pharmaceutical industry. It may also provide the pathway to a research degree (PhD).
Warwick’s MSc in Statistics introduces an innovative structure, offering a choice between a broad Statistics MSc or specialised pathways in Data Science, Finance, and Probability. This modernised programme provides unparalleled flexibility, allowing students to tailor their learning to their ambitions through four distinctive options:
-
MSc in Statistics
-
MSc in Statistics with Data Science
-
MSc in Statistics with Finance
-
MSc in Statistics with Probability
The general MSc in Statistics offers a comprehensive foundation in statistical theory and applications, while the specialised routes allow you to focus on areas that align with your career or research aspirations:
-
Data Science Pathway: Integrates statistical theory with cutting-edge applications in AI, machine learning, and health analytics.
-
Finance Pathway: Combines rigorous statistical training with insights into modern financial systems and practical applications.
-
Probability Pathway: Ideal for those with a passion for theoretical frameworks and their real-world applications.
This information is applicable for 2026 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
Available as an MSc, Warwick’s Statistics course aims to cover topics most relevant to a career as a professional statistician. Your training will open the way to employment in many sectors, including marketing, insurance, banking and pharmaceutical industry. It may also provide the pathway to a research degree (PhD).
From 2025/26, Warwick’s MSc in Statistics introduces an innovative structure, offering a choice between a broad Statistics MSc or specialised pathways in Data Science, Finance, and Probability. This modernised programme provides unparalleled flexibility, allowing students to tailor their learning to their ambitions through four distinctive options:
-
MSc in Statistics
-
MSc in Statistics with Data Science
-
MSc in Statistics with Finance
-
MSc in Statistics with Probability
The general MSc in Statistics offers a comprehensive foundation in statistical theory and applications, while the specialised routes allow you to focus on areas that align with your career or research aspirations:
-
Data Science Pathway: Integrates statistical theory with cutting-edge applications in AI, machine learning, and health analytics.
-
Finance Pathway: Combines rigorous statistical training with insights into modern financial systems and practical applications.
-
Probability Pathway: Ideal for those with a passion for theoretical frameworks and their real-world applications.
This information is applicable for 2025 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | **Minimum requirements** **English language requirements** - Band A **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Founded in 1965, the University of Warwick is ranked 74th in the QS World University Guide 2026, is the youngest member of the Russell Group and are listed within the top ten UK universities in all three major national league tables. However, we are so much more than our rankings.
We are renowned for seeking out and addressing complex global challenges with era-defining innovative thinking. A connected ecosystem of staff, students and alumni, the University fosters transformative learning, interdisciplinary collaboration and bold industry partnerships across state-of-the-art facilities in the UK and global satellite hubs.
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