Statistics PhD - 2020 Entry
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.
We set our fees on an annual basis and the 2020/21 entry fees have not yet been set.
As a guide, our fees for 2019 were:
|Full Time (per year)||Part Time (per year)|
The University will not increase the Tuition Fee you are charged during the course of an academic year.
If you are studying on a programme of more than one year's duration, the tuition fees for subsequent years of your programme are likely to increase each year. The way in which continuing students' fee rates are determined varies according to an individual's 'fee status' as set out on our fees webpages.
What are tuition fees for?
Studying at a UK University means that you need to pay an annual fee for your tuition, which covers the costs associated with teaching, examinations, assessment and graduation.
The fee that you will be charged depends on whether you are considered to be a UK, EU or overseas student. Visiting students will be charged a pro-rata fee for periods of study less than a year.
Our annual tuition fee is set for a 12 month session, which usually runs from October to September the following year.
How does Lancaster set overseas tuition fees?
Overseas fees, alongside all other sources of income, allow the University to maintain its abilities across the range of activities and services. Each year the University's Finance Committee consider recommendations for increases to fees proposed for all categories of student and this takes into account a range of factors including projected cost inflation for the University, comparisons against other high-quality institutions and external financial factors such as projected exchange rate movements.
What support is available towards tuition fees?
Lancaster University's priority is to support every student in making the most of their education. Many of our students each year will be entitled to bursaries or scholarships to help with the cost of fees and/or living expenses. You can find out more about financial support, studentships, and awards for postgraduate study on our website.
Mathematics and Statistics
- Applied Social Statistics PhD
- Data Science MSc
- Data Science PgCert
- Data Science PgDip
- Mathematics PhD
- Natural Sciences MSc by Research
- Natural Sciences PhD
- Statistics MSc
- Statistics PGDip
- Statistics and Epidemiology PhD
- Statistics and Operational Research (STOR-i) MRes
- Statistics and Operational Research (STOR-i) PhD
Find a PhD Supervisor
To begin to develop your PhD proposal, you will first need to find an academic supervisor from one of our research groups. Ranked joint 5th in the 2014 Research Excellence Framework (REF), Lancaster is one of the UK's top departments for research in mathematics and statistics.