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BSc Statistics (FR),BSc
About this course
Statistics is the mathematical discipline concerned with collecting, analysing, interpreting, and presenting data. It provides the methods by which evidence is evaluated and uncertainty is quantified, underpinning scientific research, medical trials, economic forecasting, quality control, and the increasingly data-driven decisions made across every sector of the modern economy. As the volume of data available for analysis has grown dramatically and the tools for working with it have become more powerful, the demand for people with rigorous statistical training has never been higher. At the University of Glasgow, this four-year full-time BSc develops deep competence in the mathematical and computational foundations of statistics. You will study probability theory, statistical inference, regression modelling, and data analysis, building the rigorous mathematical grounding that distinguishes a statistician from someone who simply runs software. The programme's flexibility allows it to be taken in combination with a range of other subjects from across the university, meaning that the statistical training can be integrated with expertise in mathematics, computing science, economics, finance, psychology, or other disciplines, depending on your interests and career goals. This interdisciplinary flexibility reflects how statistics is actually used in professional practice, which is almost always in the service of questions from other domains. With a typical entry tariff of 232 UCAS points, this is a competitive programme at a leading research university. Statistics graduates are among the most sought-after in the job market. Data science, financial analysis, actuarial work, pharmaceutical statistics, medical research, government statistical service, and academic research are all common destinations. The combination of statistical rigour and domain knowledge from a combined degree subject makes graduates particularly competitive in applied roles. Postgraduate study in statistics, data science, operational research, or a domain subject is a natural option for those who wish to deepen their expertise.
Syllabus & Modules
Typical curriculumStudent Satisfaction
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