Pure Mathematics/Statistics
Pure mathematics and statistics together represent two complementary ways of engaging with one of humanity's most powerful tools for understanding the world. Pure mathematics is concerned with the structure and logic of mathematical systems themselves, exploring abstract concepts such as number theory, analysis, algebra, and topology with rigour and precision. Statistics, by contrast, turns mathematical reasoning outward onto the world, providing the methods needed to collect, analyse, and interpret data in ways that support sound conclusions about everything from clinical trials to economic policy.
At Aberystwyth, this three-year full-time programme allows you to develop fluency in both traditions. You will study the formal structures and proofs that underpin advanced mathematics alongside the practical techniques of data collection, classification, analysis, and interpretation that define modern statistics. Statistics uses mathematical analysis, experimental design, and quantified models to evaluate hypotheses and address real-world problems, and the ability to handle and make sense of large datasets has never been more important.
The programme builds your capacity to think abstractly and rigorously while also developing the applied skills that are increasingly sought after across every sector that generates or depends on data. The typical entry tariff is 120 UCAS points.
Graduates of combined mathematics and statistics programmes are well placed for careers in data science, actuarial science, financial modelling, medical statistics, operational research, and scientific computing. Public sector organisations, financial institutions, pharmaceutical companies, technology firms, and research bodies all employ statisticians and mathematicians in significant numbers. The combination of logical reasoning, quantitative skill, and the ability to communicate findings clearly makes mathematics and statistics graduates adaptable and attractive to employers across many fields.
Postgraduate study in pure mathematics, statistics, data science, or actuarial science is also a natural next step for those who want to specialise or pursue research.