Statistics MSc

This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. 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.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 andor 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. Graduates of this programme have gone on to work for the NHS and companies such as RBS.

2.1 Hons (or non-UK equivalent) in a degree with a substantial Mathematics component with at least 20% of credit bearing modules in University Level Mathematics at an average grade of pass.