The Department has the largest cohort 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
- 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 : PhD
- Statistics and Operational Research (STOR-i) : MRes
- Statistics and Operational Research (STOR-i) : PhD
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For Entry: 2014
Entry Requirements: Upper second class honours degree, or its equivalent, in Mathematics, Statistics, or a combination of the two
IELTS: 6.5 or equivalent
Assessment: Original research and thesis
Funding: All applicants should consult www.lancs.ac.uk/pgfunding/
Duration: Full time 36/24 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