A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow).
Graduates who only have A-Level Mathematics (at grade A or better), or equivalent, may also be admitted to the programme. However such candidates are required to work through self-study material provided and attend a pre-sessional course on Elementary Mathematics (to be taught in the two weeks preceding the start of the teaching period of semester 1).
International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses.
Months of entry
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.
- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
- Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
- Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
- You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
- You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
- You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
- Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.
Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.
Core courses (compulsory)
- Bayesian statistics
- Generalised linear models
- Introduction to R programming
- Probability 1
- Regression models
- Statistical inference 1
- Statistics project and dissertation.
Optional courses (six chosen, but at least one course must be from Group 1)
- Data analysis
- Professional skills.
- Computational inference
- Data management and analytics using SAS
- Design of experiments
- Environmental statistics
- Financial statistics
- Functional data analysis
- Machine learning
- Multivariate methods
- Spatial statistics
- Statistical genetics
- Stochastic processes
- Time series.
1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director.
Summer (May – August)
Statistics project and dissertation (60) - assessed by a dissertation.
Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.
Information for international students
Fees and funding
Qualification and course duration
Course contact details
- Postgraduate Admissions Team