University of Warwick

What you'll study

The MSc Mathematics combines taught courses with a substantial individual project. The programme covers core areas of modern mathematics while allowing you to choose modules that reflect your interests in pure or applied directions.

• Core topics: rigorous real and complex analysis, algebra and geometry, probability theory and measure-theoretic foundations, and numerical analysis.
• Optional and specialist modules: partial differential equations, stochastic processes and stochastic calculus, mathematical finance, optimisation and control, computational mathematics and scientific computing, representation theory, algebraic topology, combinatorics and graph theory, and statistics for data analysis.
• Project/dissertation: a substantial supervised research project or extended dissertation that develops research skills and can explore theoretical or computational problems, often linked to one of the department’s active research groups.
• Teaching format: learning is delivered through lectures, problem classes, small group tutorials, and computer practicals where appropriate. Assessment typically combines written exams, coursework, and the project report.

Entry requirements

Applicants are normally expected to have a strong undergraduate degree in mathematics or a closely related subject. Typical offers specify an upper second-class honours degree or its international equivalent, with many successful applicants holding a first-class or high upper second-class degree in a mathematics-focused programme.

• Evidence of substantial mathematical content in prior study (for example, honours-level modules in analysis, algebra and probability).
• Applicants from other quantitative disciplines should demonstrate sufficient preparatory mathematics; bridging or preparatory courses may be recommended in some cases.
• A personal statement outlining mathematical interests and relevant experience, and academic references that speak to your mathematical ability.
• Proof of English language proficiency where required (e.g. recognised tests or qualifications) for applicants whose first language is not English.

Career prospects

Graduates from this MSc go on to a wide range of careers in research, industry and public sector roles. The programme equips students with advanced analytical, modelling and computational skills that are highly valued across sectors.

• Academic and research careers: progression to PhD study in pure or applied mathematics, statistics or computational science.
• Finance and quantitative industry: quantitative analyst roles, risk management, algorithmic trading and financial modelling.
• Data and technology: data scientist, machine learning engineer, software developer and roles in scientific computing.
• Consultancy, government and industry: technical consulting, actuarial science, operations research, modelling for energy and engineering firms, and public-sector analytical roles.

Why study at University of Warwick

Warwick is home to a large, research-active mathematics community with strengths across both pure and applied fields. The department fosters close interaction between taught programmes and research groups, giving MSc students access to cutting‑edge topics and supervisors with active research agendas.

• Interdisciplinary links with departments such as statistics, computer science, engineering and finance provide opportunities for collaborative projects and applications of mathematics in other domains.
• The department offers strong support for student development, including seminars, workshops and a broad lecture programme that reflects ongoing research.
• Graduates benefit from Warwick’s careers and enterprise services and the department’s connections with industry, which help with internships, career preparation and recruitment into quantitative roles.