There is a broad range of research interests in statistics in the Department. These include, but are not limited to, applied probability, big data, biostatistics, clinical trials, epidemiology, extreme value theory, Markov chain Monte Carlo, particle filtering, social statistics, statistical learning, time series and wavelets.
The Department has one of the largest cohorts of statistics PhD students in the UK, and offers excellent support. Students have a formal weekly meeting with their supervisor, but in most cases this is supplemented by more frequent, informal contact.
Any skills gaps will be covered through additional lecture programmes or directed reading, and students have the opportunity to attend graduate lectures on topics of current research interest, national APTS and MAGIC schemes which provide PhD level courses, and take part in internal seminars for students and staff.
These are an ideal opportunity to gain valuable experience of communicating ideas to an audience while also receiving feedback, which can help set future research directions.
All PhD students have their own departmental laptop, and are generously supported to attend and present work at national and international conferences. Proposals are accepted in any areas of interest to the department.
- Applied Social Statistics : PhD
- Data Science : MSc
- Mathematics : PhD
- Quantitative Methods for Science, Social Science and Medicine : MSc
- Quantitative Methods for Science, Social Science and Medicine : PGCert
- Quantitative Methods for Science, Social Science and Medicine : PGDip
- Statistics : PGDip/MSc
- Statistics and Operational Research (STOR-i) : MRes
- Statistics and Operational Research (STOR-i) : PhD
Search Our Courses
For Entry: 2014
Director of Studies: Professor Brian Francis.
Duration: three years full-time (PhD), four years full-time (MSc/PhD). Part-time study is also possible.
Entry requirements: Upper second class honours degree, or its equivalent, in Statistics, Social Science or a relevant related discipline, or relevant professional qualification or experience.
IELTS: 6.5 or equivalent.
Assessment: Original research and thesis.
Funding: All applicants should consult www.lancs.ac.uk/pgfunding/
Duration: Full time 36 Month(s)
Department: Mathematics and Statistics
Phone: +44 (0)1524 593964
For information on the course structure as followed by our current students, please see Lancaster University's Online Courses Handbook