Mathematics with Statistics

Mathematics with statistics is a degree that develops rigorous quantitative reasoning alongside specialist training in the collection, analysis, and interpretation of data. Pure mathematics provides the logical foundations: the study of structures, proofs, and patterns that underlie all quantitative reasoning. Statistics applies mathematical thinking to the real world, developing methods for understanding uncertainty, drawing conclusions from evidence, and building models that describe how systems behave.

The combination is one of the most practically powerful in higher education, relevant to virtually every field where decisions are shaped by data.

Nottingham Trent University's four-year full-time programme includes a foundation year, designed to build the mathematical knowledge and study skills needed before you enter the main degree. This makes the programme accessible to students who may have strong mathematical aptitude but need to consolidate their preparation before tackling degree-level content. Once in the main programme, you will study calculus, linear algebra, probability, statistical inference, regression analysis, mathematical modelling, computational statistics, and data analysis, developing both theoretical understanding and practical skills in statistical software and data handling.

The programme prepares you to work with data rigorously, communicate findings clearly, and understand the mathematical principles behind statistical methods.

Graduates in mathematics with statistics are in high demand across finance, data science, actuarial work, market research, healthcare analytics, government, insurance, and technology. The ability to reason quantitatively and work with complex data is valued across almost every professional sector. Many graduates pursue postgraduate qualifications in actuarial science, data science, or statistics, or continue to doctoral research in mathematical statistics or applied mathematics.