This Masters in Biostatistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.
Why this programme
The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
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.
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)
Generalised linear models
Introduction to R programming
Statistical inference 1
Statistics project and dissertation.
Optional courses (five chosen, but at least one course must be from Group 1)
Data management and analytics using SAS
Design of experiments
Functional data analysis
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) - applying statistical methods and modelling to data collected from research in a biomedical discipline, assessed by a dissertation.
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.