University of York

What you'll study

This three-year BSc programme provides a balance of pure and applied mathematics together with probability, statistics and computational methods. In the early stages you build essential foundations: calculus and analysis, linear algebra, proof techniques and introductory probability. Core second-year topics typically include real analysis, ordinary differential equations, multivariable calculus, and introductory topics in numerical methods and statistics. In the final year you study advanced topics such as complex analysis, topology or advanced linear algebra alongside applied modules in mathematical modelling, numerical analysis, stochastic processes or optimisation.

Teaching is delivered through lectures, small-group classes and problem-solving workshops, with assessed coursework and exams. Many degrees at York also allow you to choose optional modules to specialise — for example mathematical finance, mathematical biology, partial differential equations, Bayesian statistics, machine learning methods, or computational mathematics — depending on availability in a given year. Projects or a dissertation in the final year give you an opportunity to explore a topic in depth and to develop independent research and communication skills.

Entry requirements

Successful applicants typically have strong qualifications in mathematics. At A-level, Mathematics is essential and Further Mathematics is strongly recommended where available. Typical offers expect high grades in relevant subjects; applicants with equivalent international qualifications, Scottish Highers/Advanced Highers, or other recognised qualifications are considered. Admissions also take account of personal statements, references, and any relevant experience. Mature applicants and those without traditional qualifications are encouraged to contact the department to discuss their background and possible pathways onto the programme.

Career prospects

Graduates of the BSc Mathematics have a wide range of career options. Common destinations include quantitative roles in finance (such as risk analysis and quantitative trading), data science and analytics, actuarial work (often following professional exams), software development and technology, and scientific or engineering modelling. Many students also progress to postgraduate study — MSc or PhD programmes — in mathematics, statistics, machine learning or related subjects. The degree develops transferable skills valued by employers, including logical reasoning, quantitative communication, programming, and problem-solving.

Why study at University of York

The Department of Mathematics at York combines strong research activity with student-focused teaching. You benefit from small-group tutorials and problem classes that reinforce lecture material, and staff are accessible for supervision of final-year projects. The university supports employability through career services, placements and industry links, and you can often take optional modules that reflect current applications of mathematics such as computational methods and data analysis. York's collegiate campus and wider academic community provide opportunities for interdisciplinary collaboration with departments such as computer science, physics and economics.