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University of Glasgow: Advanced Statistics
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Mathematics and Statistics |
| Web | glasgow.ac.uk |
| Study type | Taught |
Master of Research - MRes
Summary
This Masters in Advanced 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.
-
Our research groups have strong connections to external organisations such as NHS, SEPA, CEH and others.
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The Masters in Advanced Statistics is accredited by the Royal Statistical Society.
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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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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 1 compulsary taught course and select 11 courses from the optional courses in semesters 1 and 2. We recommend you take 6 courses per semester.
Note: course choice is subject to timetabling constraints and should be discussed with your advisor of studies.
Semester 1 Optional courses Advanced Bayesian Methods (Level M) Biostatistics (Level M) Flexible Regression (Level M) Linear Mixed Models (Level M) Multivariate Methods (Level M) Principles of Probability and Statistics (Level M) Stochastic Processes (Level M) Introduction to statistical programming in R and Python
Semester 2 Core course Data Analysis Skills (Level M)
Optional courses Bayesian Statistics (Level M) Design of Experiments (Level M) Environmental and Ecological Statistics (Level M) Functional Data Analysis (Level M) Spatial Statistics (Level M) Statistical Genetics (Level M) Advanced Predictive Models
Project (summer) Advanced Statistics Project and Dissertation
Programme alteration or discontinuation The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | 2.1 Hons (or non-UK equivalent) in a degree with substantial Mathematics and Statistics components, with modules in each of Statistics and University Level Mathematics at an average grade of pass. A substantial Mathematics component is required which is 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 |
Summary
This Masters in Advanced 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 research groups have strong connections to external organisations such as NHS, SEPA, CEH and others.
-
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.
Core Courses PROFESSIONAL SKILLS ADVANCED DATA ANALYSIS (LEVEL M)
Optional Courses Choose any 10 from the following optional courses: INTRODUCTION TO R PROGRAMMING (LEVEL M) MULTIVARIATE METHODS (LEVEL M) BIOSTATISTICS (LEVEL M) BAYESIAN STATISTICS (LEVEL M) STOCHASTIC PROCESSES (LEVEL M) FLEXIBLE REGRESSION (LEVEL M) LINEAR MIXED MODELS (LEVEL M) PRINCIPLES OF PROBABILITY AND STATISTICS (LEVEL M) DESIGN OF EXPERIMENTS (LEVEL M) GENERALISED LINEAR MODELS (LEVEL M) TIME SERIES (LEVEL M) ENVIRONMENTAL STATISTICS (LEVEL M) ADVANCED BAYESIAN METHODS (LEVEL M) STATISTICAL GENETICS (LEVEL M) SPATIAL STATISTICS (LEVEL M) FUNCTIONAL DATA ANALYSIS (LEVEL M)
Project ADVANCED STATISTICS PROJECT AND DISSERTATION
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A first degree equivalent to a UK Upper Second Class Honours degree with: |
| 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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