Mathematics with Data Science

Mathematics with data science is a degree that combines the rigour and depth of a mathematics education with the practical skills for working with large and complex datasets. Data science has emerged as one of the most consequential professional fields of the early twenty-first century, as organisations of every kind seek to understand and exploit the information available to them. Grounding that practical work in a strong mathematical foundation gives you the conceptual understanding to do it well rather than just mechanically, and to develop and evaluate new methods rather than simply applying existing ones.

At Nottingham Trent University, this three-year full-time programme develops your mathematical knowledge across areas including statistics, probability, linear algebra, calculus and discrete mathematics, alongside the data science skills of programming, machine learning, data visualisation, database management and the principles of statistical inference and modelling. You will learn to work with real datasets, to apply mathematical and computational tools to practical problems and to communicate your findings clearly to both technical and non-technical audiences. The programme develops both the theoretical understanding that mathematics demands and the applied competencies that employers in data-driven industries are looking for.

Graduates move into careers in data science, data analysis, machine learning, business intelligence, financial modelling, research analytics and a wide range of other roles where quantitative expertise is central. Technology companies, financial services, retail, healthcare, government and research organisations all employ graduates with this combination of mathematical depth and data science competence. The combination of pure mathematical training and applied data skills is increasingly valued as employers recognise that the best data scientists need both.

Postgraduate study in statistics, data science, machine learning or mathematical finance is also a natural pathway for those who want to develop their expertise further.