BSc Mathematics with Data Science (with Foundation Year)
About this course
Mathematics with data science is a combination that reflects the transformation of mathematical practice in the age of large-scale computation. Pure mathematics remains as demanding and fundamental as ever, providing the rigorous logical structures within which ideas about number, probability, and change are developed. Data science draws on those mathematical foundations to address the practical challenges of extracting insight from the vast quantities of data that modern science, business, and government generate. Together, they give you a degree that is both intellectually rigorous and immediately applicable in a world where quantitative skills are in extraordinary demand. At the University of Hull, this programme is offered as Mathematics with Data Science with a Foundation Year, making it a four-year degree in total. The foundation year provides a supported and structured introduction to the mathematical ideas and study skills needed to engage successfully with the degree, making it accessible to students who want to develop their mathematical preparation before tackling university-level content. As you move through the programme, you will study pure and applied mathematics alongside data science methods including statistical learning, machine learning, data visualisation, and computational thinking. Hull's mathematics department offers a supportive and practically oriented learning environment where students develop both theoretical understanding and the computational skills increasingly expected of mathematicians in professional contexts. Graduates from Mathematics with Data Science go on to careers in data science, data analysis, actuarial work, financial mathematics, statistical consultancy, software development, technology companies, the civil service, and research. The combination of mathematical rigour and data science expertise is particularly sought after by employers across finance, technology, healthcare analytics, and public sector research. Some graduates pursue postgraduate study in mathematics, statistics, data science, or machine learning.
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