

BSc Mathematics, Statistics, and Data Science
About this course
Mathematics, statistics and data science is a programme built for a world in which vast quantities of data are being generated and the ability to extract reliable insight from them is increasingly central to decision-making across every sector. Mathematics provides the rigorous theoretical foundation, including analysis, algebra and optimisation. Statistics supplies the methods for drawing valid inferences from data under uncertainty. Data science adds the computational and applied dimension, encompassing machine learning, data engineering, visualisation and the practical skills needed to work with large, complex data sets. At the University of Bath, which has strong reputations in both mathematics and applied quantitative fields, this three-year full-time programme integrates all three components into a coherent curriculum. You will study mathematical analysis and algebra alongside probability theory, statistical inference, regression, machine learning, programming in analytical languages and data processing techniques. The programme develops both your capacity for rigorous mathematical reasoning and your ability to apply quantitative methods to real data in ways that produce defensible, interpretable results. Graduates are exceptionally well placed in a job market with strong and growing demand for quantitative skills. Data science, statistical analysis, actuarial science, financial modelling, machine learning engineering, operations research, market research and economic analysis are all well-established graduate pathways. The combination of mathematical rigour, statistical training and computational skills makes graduates from this programme competitive for roles in technology companies, financial services, healthcare analytics, government statistics, consultancy and academic research. Many also proceed to postgraduate study, taking masters or doctoral programmes in statistics, data science, machine learning, mathematics or applied fields such as epidemiology or econometrics.
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