

BSc Mathematics and Statistics
About this course
Mathematics and statistics together form a discipline of remarkable scope. Mathematics provides the structural language of quantity, pattern and proof, while statistics supplies the tools for drawing reliable conclusions from data about the uncertain and variable world. Together they underpin fields from medical research to financial modelling, from engineering design to artificial intelligence, making the combination one of the most versatile and sought-after in higher education. At Manchester, this programme builds a rigorous foundation in both pure and applied mathematics alongside the theory and practice of statistical inference. You will study analysis, algebra, probability, stochastic processes, regression, computational methods and more, developing the ability to move fluently between abstract reasoning and practical data work. The programme includes a foundation year, which provides additional preparation for students entering with non-standard qualifications or who benefit from a strengthened grounding before the main degree begins. It also offers a sandwich year and work placement opportunities, meaning you can spend time working in a professional environment, applying mathematical and statistical methods in a real organisational context before returning to complete your studies. This practical experience deepens your understanding of how the discipline functions outside academic settings. The typical entry tariff is 72 UCAS points. Graduates in mathematics and statistics are among the most employable in the UK. Careers span data science, actuarial science, financial analysis, operations research, public health statistics, government analysis and software development. Many graduates continue to postgraduate study in areas such as statistics, machine learning, econometrics or applied mathematics. The analytical precision and quantitative confidence developed through this programme transfer across industries, and employers consistently report that mathematically trained graduates can solve problems that specialists in other disciplines cannot.
Syllabus & Modules
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