BSc Mathematics and Physics
About this course
Mathematics and physics are disciplines that have developed in close relationship with each other: physics describes the laws that govern the physical world, and mathematics provides the language in which those laws are expressed. At degree level, the two subjects are genuinely inseparable at the frontier. Understanding quantum mechanics, relativity, or the behaviour of complex physical systems requires a mathematical sophistication that goes far beyond what is covered at A-level, and studying both together allows you to develop that sophistication in the context where it matters. At the University of York, this three-year full-time programme takes seriously the natural affinity between the two subjects. You will study mathematics across analysis, algebra, and applied topics, developing both the theoretical rigour and the computational tools that physics demands. On the physics side, you will cover classical mechanics, electromagnetism, quantum theory, thermodynamics, and areas of modern physics, supported at every stage by the mathematical language you are developing in parallel. The programme includes a sandwich placement year, a year abroad, and work placement opportunities, giving you professional experience in a scientific or analytical environment and the opportunity to study physics and mathematics in a different academic culture. Graduates of combined mathematics and physics programmes are valued in a very wide range of fields. Academic research in physics, mathematics, or related disciplines is one route, and the programme provides a strong foundation for doctoral study. Beyond academia, the quantitative and analytical capabilities the degree develops are sought after in data science, financial analysis, actuarial work, engineering, software development, and government scientific roles. The combination of rigorous mathematical reasoning and physical intuition is genuinely distinctive, and employers who need people capable of building and testing quantitative models are consistently attracted to graduates with this background.
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