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University of Glasgow: Statistics
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Mathematics and Statistics |
| Web | glasgow.ac.uk |
| Telephone | 0141 330 4515 |
| Study type | Taught |
MSc
Summary
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.
WHY THIS PROGRAMME
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The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
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Our expertise spans topics including biostatistics and statistical genetics, environmental statistics, statistical methodology, statistical modelling and the scholarship of learning and teaching in statistics.
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Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
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The Masters in Statistics is accredited by the Royal Statistical Society.
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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.
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You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
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Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.
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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.
| Level | SCQF Level 11 |
|---|---|
| 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. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
Summary
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.
WHY THIS PROGRAMME
-
Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
-
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 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. Semester 1 Core courses
BIOSTATISTICS (LEVEL M) INTRODUCTION TO R PROGRAMMING (LEVEL M) MULTIVARIATE METHODS (LEVEL M) PROBABILITY (LEVEL M) REGRESSION MODELS (LEVEL M) STATISTICAL INFERENCE (LEVEL M)
Semester 2 Core courses
ADVANCED PREDICTIVE MODELS BAYESIAN STATISTICS (LEVEL M) DATA ANALYSIS SKILLS (LEVEL M) Optional courses (choose 3)
DESIGN OF EXPERIMENTS (LEVEL M) ENVIRONMENTAL STATISTICS (LEVEL M) FUNCTIONAL DATA ANALYSIS (LEVEL M) SPATIAL STATISTICS (LEVEL M) STATISTICAL GENETICS (LEVEL M) Project (summer)
STATISTICS PROJECT AND DISSERTATION
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | 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). |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, our people have always been at the forefront of innovation, including eight Nobel Laureates, two UK Prime Ministers, three First Ministers of Scotland, 10 Fellows of the Royal Society and 11 Fellows of the British Academy. Our past achievements inspire our current world changers.
Rankings
The University:
- is ranked 79th in the world: QS World University Rankings 2025
- is …
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