Mathematics with Statistics

Mathematics with statistics is a degree for those who want to develop serious mathematical depth while building genuine expertise in the methods that allow us to draw reliable conclusions from data. Pure mathematics and statistics share a common rigour but serve different purposes: mathematics seeks to establish universal truths through proof, while statistics develops principled approaches to uncertainty, inference, and decision-making in the face of incomplete or noisy information. Together, they provide a training that is both intellectually foundational and immediately applicable to a wide range of real-world problems.

At Imperial College London, this three-year, full-time degree is taught in one of the UK's leading mathematics departments, in an environment shaped by research at the very frontier of the field.

You will study analysis, algebra, probability, and mathematical methods alongside statistical inference, regression, data analysis, and applied probability, developing both the proof-writing capacity of the pure mathematician and the modelling and computational skills of the statistician. Imperial's programme builds on and extends the ideas you will have encountered at A-level, while introducing new ways of thinking that are characteristic of university-level mathematics and statistics. The department's research environment in both pure mathematics and statistics is internationally recognised, and you will benefit from studying in a community where these disciplines are actively advanced.

Graduates of mathematics with statistics from Imperial go on to careers in data science, actuarial science, financial mathematics, quantitative research, statistics in government and public health, machine learning, and academic research. The combination of rigorous mathematical training and statistical expertise is particularly valuable in any sector that relies on principled analysis of complex data, and Imperial graduates are in high demand across finance, technology, healthcare analytics, and research. Many also pursue postgraduate study, including doctoral programmes in mathematics, statistics, or data science.