MSc Statistics at University of Glasgow

Programme overview

The MSc Statistics provides knowledge and experience of the principles, theory and practical skills of statistics, with graduates entering medical research, pharmaceuticals, finance and government statistical services.

Faculty: College of Science and Engineering | Department: School of Mathematics and Statistics | Duration: 12 months full-time | Intake: September | Location: Glasgow, Scotland, United Kingdom

What you will study

Nine compulsory courses including Biostatistics, Probability, Regression Models, Statistical Inference, Bayesian Statistics, Data Mining and Machine Learning and Advanced Predictive Models, two options such as Time Series or Spatial Statistics, and a summer project and dissertation.

Career pathways

Graduates find employment in medical research, the pharmaceutical industry, finance and government statistical services, and some continue to a PhD.

Official programme page

Application information

Entry requirements

2.1 Honours degree (or non-UK equivalent) with a substantial Mathematics component, including at least 20% of credit-bearing modules in university-level Mathematics at an average grade of pass. Not available to recent University of Glasgow graduates with an undergraduate Statistics degree. International applicants: IELTS Academic 6.5 overall with no component below 6.0; TOEFL iBT 92 overall (tests taken from 21 January 2026); PTE Academic (test centre) 65 overall with Reading 60, Listening 60, Speaking 65, Writing 60. Other tests are accepted and a University pre-sessional course can also meet the requirement. Applications for September 2027 entry: UK applicants by 24 August 2027; international applicants apply in rounds from 1 October 2026 to 8 July 2027 (final decision date 29 July 2027).

Domestic applicants: GBP 13,092 a year (2027/28). Home and rest-of-UK full-time fee Source

International applicants: GBP 34,815 a year (2027/28). International and EU full-time fee Source

Intake: September

Duration: 12 months full-time

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