

BSc Mathematics with Data Science
About this course
Mathematics with data science is a degree that develops the mathematical foundations of quantitative thinking alongside the specific computational and statistical tools used to extract understanding from data. Data science is not simply a technical skill set; at its core it is applied mathematics, and the mathematical depth that this degree provides gives you a more robust and adaptable competence than programmes that focus primarily on software tools without developing the underlying theory. At the University of Surrey, this three-year full-time programme grounds you in the core mathematics of equations, calculus, linear algebra and classical dynamics before introducing you to the probability, statistics, optimisation and machine learning methods that data science draws upon. You will develop your mathematical understanding through rigorous analysis alongside the computational skills needed to work with real data at scale. Optional modules allow you to explore further in directions including quantum mechanics, the mathematics of weather and climate, or more advanced statistics and machine learning, giving you the flexibility to pursue the areas most relevant to your interests and career ambitions. Surrey's mathematics programme is taught within a research-active department, and the data science components are designed to reflect the methods and tools in current professional use rather than simply textbook theory. A typical entry tariff of around 136 points is expected. Graduates work as data scientists, quantitative analysts, statisticians, machine learning engineers, research scientists and financial modellers across technology, finance, healthcare, government, energy and the full range of data-intensive industries. The mathematical depth of the degree is particularly valued in roles where understanding why analytical methods work and what their assumptions and limitations are matters as much as being able to run them. Many graduates proceed to postgraduate study in mathematics, statistics or data science, or to doctoral research in a quantitative field.
Syllabus & Modules
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