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Statistics at University of Glasgow - UCAS

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2025 - 20262026 - 2027
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Course summary

This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. WHY THIS PROGRAMME

  • 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.
  • The Masters in Statistics is accredited by the Royal Statistical Society.
  • 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.
  • You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
  • Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.
  • You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
PROGRAMME STRUCTURE 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. Students are required to take 9 compulsory taught courses and select 2 optional courses in semester 2. **Semester 1 Core courses** Biostatistics (Level M) Probability (Level M) Regression Models (Level M) Statistical Inference (Level M) Introduction to statistical programming in R and Python **Semester 2 Core courses** Bayesian Statistics (Level M) Data Analysis Skills (Level M) Data Mining and Machine Learning Advanced Predictive Models Optional courses (choose 2) Design of Experiments (Level M) Environmental and Ecological Statistics (Level M) Functional Data Analysis (Level M) Spatial Statistics (Level M) Statistical Genetics (Level M) Time Series (Level M) Project (summer) Statistics Project and Dissertation CAREER PROSPECTS Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. This programme opens up a multitude of career opportunities and/or boosts your career trajectory. Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD. Recent graduates have been employed by Lloyds Banking Group, Equifax, Kohler, Moodys and Globality. Explore our LinkedIn profile for a flavour of where our most recent graduates work.

How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'. Classes start September 2021 and you may be expected to attend induction sessions the week before.

Entry requirements

2.1 Hons (or non-UK equivalent) in a degree 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) with at least 20% of credit bearing modules in University Level Mathematics at an average grade of pass. This programme is not available to recent graduates who have been awarded an undergraduate degree in Statistics from the University of Glasgow. International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Statistics at University of Glasgow - UCAS