Mathematics with Data Science

Mathematics with data science is a programme built for a moment when the ability to reason rigorously about numbers and structures has become more practically valuable than ever. Data science, the extraction of insight from large and complex datasets using statistical and computational methods, depends fundamentally on the mathematical foundations that this degree provides in depth. Probability theory, statistical inference, linear algebra, and optimisation are not merely useful to data science; they are its intellectual backbone.

Students who study both together develop the rare ability to understand not just how data science tools work but why they work, putting them in a stronger position to adapt, evaluate, and improve those tools as the field evolves.

At the University of Hull, this three-year full-time programme gives you thorough training in core mathematical areas, including analysis, algebra, discrete mathematics, probability, and statistics, alongside the computational and applied data science skills that translate this knowledge into practice. You will learn to programme, to work with data at scale, to build and evaluate statistical models, and to apply machine learning methods, all grounded in the mathematical understanding that prevents such tools from being used as black boxes. Hull's programme develops both the theoretical confidence and the practical fluency that employers in data-intensive roles are looking for.

Graduates move into roles in data analysis, data science, machine learning engineering, quantitative research, actuarial work, and software development across a wide range of sectors. Financial services, insurance, healthcare, retail, technology, and the public sector all employ graduates who can combine mathematical rigour with data skills. The combination is also well suited to postgraduate study in mathematics, statistics, data science, artificial intelligence, or operational research, and many graduates choose to specialise further at masters level before entering the workforce.