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We welcome applications from those seeking to undertake PhD research degrees. The Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD. 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 Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD. 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.
2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components 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.
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 (Integrated) PhD
Main campus, Lancaster,, United Kingdom
# 201-250QS Subject Rankings
48 monthsProgram duration
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD.
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 Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD.
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
Exam Scores
Important Dates
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
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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Statistics MSc
Statistics and Artificial Intelligence MSc
Statistics and Operational Research MRes
Executive MBA (2)
Business Administration (Executive) MBA
Cyber Security Executive MBA
Cyber Security Executive MBA
Executive MBA
Full-Time MBA (2)
Business Administration MBA
MBA
Arts and Humanities (6)
Architecture PhD
Art PhD
Contemporary Arts PhD
Creative Writing PhD
Design PhD
English Literature PhD
English Literature and Creative Writing PhD
Film PhD
History PhD
Languages and Cultures PhD
Linguistics (by thesis and coursework) PhD
Linguistics PhD
Philosophy PhD
Religious Studies PhD
Theatre Studies PhD
Translation PhD
Business and Management (6)
Accounting and Finance PhD
Economics PhD
Economics PhD (Integrated)
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
Engineering and Technology (6)
Communication Systems PhD
Computer Science MPhil/PhD
Engineering MPhil/ PhD
Life Sciences and Medicine (6)
Biological Science PhD
Biomedical and Life Sciences MPhil/PhD
Clinical Psychology DClinPsy
Health Data Science PhD
Health Economics and Policy PhD
Health Research PhD
Medical Ethics and Law PhD
Medicine PhD
Mental Health PhD
Organisational Health and Well-being PhD
Palliative Care PhD
Psychology PhD
Public Health PhD
Social and Behavioural Sciences in Medicine PhD
Sport and Exercise Sciences PhD
Statistics and Epidemiology PhD
Natural Sciences (6)
Chemistry PhD
Environmental Science PhD
Geography PhD
Materials Science PhD
Mathematics PhD
Nanoscience PhD
Natural Sciences PhD
Physics PhD
Social Statistics PhD
Statistics (Integrated) PhD
Statistics PhD
Statistics and Operational Research (STOR-i) PhD
Social Sciences and Management (6)
Applied Social Science PhD
Criminology PhD
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
Environment and Society PhD
Gender Studies PhD
Higher Education: Research, Evaluation and Enhancement (by thesis and coursework) PhD
International Relations PhD
Law MPhil/PhD
Media and Cultural Studies PhD
Politics PhD
Science Studies PhD
Sociology PhD