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We welcome applications from those seeking to undertake PhD research degrees. The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project. The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas. Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income. We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
Program overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
We welcome applications from those seeking to undertake PhD research degrees. The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project. The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas. Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income. We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
Admission Requirements
6.5+
58+
87+
2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules:
Calculus
Analysis
Linear Algebra
Scientific computing
Probability
Statistical Inference
We may also consider non-standard applicants, please contact us for information. If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application. Additional Requirements The first step if you are interested in studying for postgraduate research in Mathematics or Statistics is to contact the relevant PhD admissions tutor.
3 Years
Tuition Fee and Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Statistics PhD
Main campus, Lancaster,, United Kingdom
# 251-300QS Subject Rankings
36 monthsProgram duration
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
Program overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
Admission Requirements
It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing.
Typically, your degree is expected to have covered the following modules:
- Calculus
- Analysis
- Linear Algebra
- Scientific computing
- Probability
- Statistical Inference
We may also consider non-standard applicants, please contact us for information.If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
Additional Requirements The first step if you are interested in studying for postgraduate research in Mathematics or Statistics is to contact the relevant PhD admissions tutor.
Tuition Fee and Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Conflict, Development and Security MA
Diplomacy and Foreign Policy MA
Diplomacy and International Law (Distance Learning) LLM
Diplomacy and International Law (Distance Learning) MA
Diplomacy and International Law LLM
Diplomacy and International Law MA
Diplomacy and International Relations (by Distance Learning) MA
Diplomacy and Religion MA
International Relations MA
International Security MA
Philosophy MA
Philosophy and Religion MA
Political Ecology MA
Politics MA
Politics and Philosophy MA
Public Policy MSc
Religion and Conflict MA
Religious Studies MA
Psychology (28)
Developmental Disorders MSc
Developmental Psychology MSc
Psychological Research Methods MSc
Psychology and Behavioural Analytics MSc
Psychology of Advertising MSc
School of Global Affairs (28)
Artificial Intelligence MSc
Artificial Intelligence, Society, and Global Challenges MA
Global Affairs MA
Global Health Equity
Global Media and Society
Global Medical and Health Humanities MA
Languages and Cultures (by Research) MA
Sustainability and Global Environmental Futures MA
Translation Studies MA
Sociology (28)
Environment, Culture and Society MA
Gender Studies MA
Gender Studies and English MA
Social Research MA
Sociology MA
Executive MBA (2)
Business Administration (Executive) MBA
Cyber Security Executive MBA
Executive MBA
Full-Time MBA (2)
Business Administration MBA
MBA
Biomedical and Life Sciences (22)
Biomedical and Life Sciences MPhil/PhD
Business and Management (22)
Accounting and Finance PhD
Chemistry (22)
Chemistry PhD
Materials Science PhD
Natural Sciences PhD
Computing and Communications (22)
Communication Systems PhD
Computer Science MPhil/PhD
Economics (22)
Economics PhD
Economics PhD (Integrated)
Educational Research (22)
E-Research and Technology Enhanced Learning (by thesis and coursework) PhD
Education and Social Justice (by thesis and coursework) PhD
Educational Research (Independent Study) PhD
Higher Education: Research, Evaluation and Enhancement (by thesis and coursework) PhD
Engineering (22)
Engineering MPhil/ PhD
English and Creative Writing (22)
Creative Writing PhD
English Literature PhD
English Literature and Creative Writing PhD
History (22)
History PhD
Institute for Health Research (22)
Clinical Psychology DClinPsy
Health Economics and Policy PhD
Health Research PhD
Mental Health PhD
Organisational Health and Well-being PhD
Palliative Care PhD
Public Health PhD
Lancaster Environment Centre (22)
Biological Science PhD
Environmental Science PhD
Geography PhD
Lancaster Institute for the Contemporary Arts (22)
Contemporary Arts PhD
Design PhD
Film PhD
Lancaster Medical School (22)
Health Data Science PhD
Medical Ethics and Law PhD
Medicine PhD
Social and Behavioural Sciences in Medicine PhD
Sport and Exercise Sciences PhD
Statistics and Epidemiology PhD
Law School (22)
Criminology PhD
Law MPhil/PhD
Linguistics and English Language (22)
Linguistics (by thesis and coursework) PhD
Linguistics PhD
Management School PG Office (22)
Management (Entrepreneurship and Strategy) PhD
Management (Organisation, Work and Technology) PhD
Management Science (Integrated) PhD
Management Science PhD
Marketing PhD
Theory and Practice of Management (IDPM) PhD
Theory and Practice of Management PhD
Mathematics and Statistics (22)
Mathematics PhD
Social Statistics PhD
Statistics (Integrated) PhD
Statistics PhD
Statistics and Operational Research (STOR-i) PhD
Physics (22)
Nanoscience PhD
Physics PhD
Politics, Philosophy and Religion (22)
International Relations PhD
Philosophy PhD
Politics PhD
Religious Studies PhD
Psychology (22)
Psychology PhD
School of Global Affairs (22)
Languages and Cultures PhD
Translation PhD
Sociology (22)
Applied Social Science PhD
Architecture PhD
Art PhD
Environment and Society PhD
Gender Studies PhD
Media and Cultural Studies PhD
Science Studies PhD
Sociology PhD
Theatre Studies PhD