University of Glasgow

Degree level: Postgraduate

Advanced Statistics (Research)

Course options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course 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

Course details


How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

A first degree equivalent to a UK Upper Second Class Honours 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) - a substantial component of Statistics methodology, including at least Honours-level courses in probability theory, likelihood-based inference and the theory of linear models This programme is not available to recent graduates who have been awarded an undergraduate degree in Statistics from the University of Glasgow. Only applications that meet or exceed our stated entry requirements will go forward for consideration. Any application that does not will be automatically rejected. Applicants will be made offers based on their relative performance compared to other applicants, considering both current GPA to date or degree classification; English language level achieved to date; and the relevance of an applicant’s academic background. If an offer is made, it may be unconditional or conditional on completing a degree or obtaining the required English language scores.


Fees and funding

Tuition fees

No fee information has been provided for this course

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'.

Advanced Statistics at University of Glasgow - UCAS