University of York

What you'll study

The programme brings together the fundamental theory and methods of mathematics with the experimental and theoretical scope of physics. In early years you study core material in calculus, linear algebra, classical mechanics, electromagnetism, waves, and introductory quantum physics alongside laboratory and computing skills. As you progress you choose specialised modules that reflect York's research strengths, for example mathematical analysis, algebra, differential equations, statistical mechanics, quantum theory, condensed matter, relativity and computational physics.

Typical features include a balance of taught lectures, problem classes/tutorials, practical laboratory sessions and computing projects. You will learn numerical techniques and programming for scientific applications, data analysis and modelling, and have the opportunity to take optional modules from both departments to tailor your degree towards topics such as fluid dynamics, mathematical methods for physics, cosmology, or advanced probability and statistics.

The final years include advanced, Masters-level modules and an independent research project or dissertation supervised by academic staff. Projects often involve computational modelling, theoretical analysis or experimental work in departmental research groups, giving hands-on experience of research methodologies.

• Foundational mathematics: analysis, algebra, differential equations, numerical methods
• Core physics: classical mechanics, electromagnetism, quantum mechanics, thermodynamics and statistical physics
• Computing and data skills: scientific programming, numerical simulation, data analysis
• Advanced options: condensed matter, particle physics, relativity, mathematical modelling, stochastic processes
• Final-year integrated research project or dissertation

Entry requirements

Applicants should demonstrate strong attainment in relevant pre-university qualifications, typically with high grades in Mathematics and usually Physics (or equivalent qualifications). The programme expects competence in calculus and algebra, and evidence of problem-solving ability. International applicants may satisfy requirements through appropriate international qualifications or recognised equivalencies.

Other considerations include personal statement, references and any relevant experience; mature applicants and those with non-traditional backgrounds are considered on an individual basis. If you lack A-level Physics but have a substantial Mathematics background, you should check department guidance and may be able to prepare through bridging material or recognised equivalent qualifications.

Career prospects

Graduates leave with strong quantitative, modelling and analytical skills valued across many sectors. Common career paths include:

• Further study and research: PhD programmes in mathematics, physics or interdisciplinary areas
• Technology and engineering: roles in research and development, instrumentation and applied physics
• Data and quantitative finance: data science, quantitative analysis and risk modelling
• Software and computing: scientific programming, algorithm development and software engineering
• Teaching and public engagement: secondary teaching or outreach roles in science and maths

The emphasis on independent project work and transferable technical skills also supports careers in government laboratories, consultancy, and industrial research, as well as entrepreneurship and start-up environments.

Why study at University of York

At York you benefit from research-led teaching across two active departments with complementary strengths. The university offers small-group teaching and supervision for project work, enabling close interaction with academic staff involved in current research. Facilities include well-equipped physics laboratories, computing suites and access to specialist research centres that host experimental and theoretical projects.

The collegiate campus environment supports a wide range of student societies, mentoring and careers services that help you develop professional skills and secure internships or placements. Links with industry, research institutes and interdisciplinary centres provide opportunities for collaborative projects, placements and progression to doctoral study. Overall, the programme is structured to produce graduates who are technically competent, adaptable and ready for a broad range of scientific and quantitative careers.