Research course


University of Edinburgh · School of Mathematics

Entry requirements

A UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK masters degree, or their international equivalents; or relevant qualifications and experience.

All applicants must also meet our English language requirements.

Months of entry


Course content

Our society revolves around variation, uncertainty and risk. By gaining a greater understanding of these variables through the study of statistics, we’re able to create systems and techniques that benefit areas as diverse as science, law and finance.

Our Statistics research group explores a wide range of statistical theory and practice, often applying its findings in collaboration with researchers in related fields, such as informatics and biomathematics.

The School of Mathematics is a vibrant community of more than 60 academic and related staff supervising 60 students.

Our work is balanced between classical and Bayesian statistics. Our particular areas of interest include hierarchical multivariate random effects models, wavelets, nonparametric regression and resampling.

While the group has a strong theoretical base, we’re also heavily involved in specific application areas, particularly forensic science, law, agriculture, and functional genomics data, such as gene expression microarrays.

Department specialisms

Bayesian Statistics; Categorical Data Analysis; Random Effects Models; Forensic and Medical Statistics; Semi-Parametric Modelling.

Information for international students

To find out about the support offered to international students at Edinburgh from arrival to graduation visit our website

Fees and funding

Visit Scholarships and Student Funding Services

Qualification, course duration and attendance options

  • PhD
    full time
    36 months
    • Campus-based learningis available for this qualification
    part time
    72 months
    • Campus-based learningis available for this qualification

Course contact details

Graduate School Administrator
+44 (0)131 650 5085