Physics with Data Science

Physics and data science is a combination that reflects a profound shift in how scientific discovery is happening across disciplines. Physics provides the fundamental theoretical framework for understanding matter, energy, space and time, from the behaviour of subatomic particles to the large-scale structure of the universe, and it underpins virtually every branch of applied science and engineering. Data science supplies the computational and statistical tools that allow scientists to extract meaningful patterns from vast quantities of experimental and observational data, from climate records and telescope surveys to particle detector outputs and medical imaging.

Together they form one of the most powerful combinations available for students who want to be at the frontier of both physics and data-driven science.

At the University of Sussex, this three-year full-time programme includes a foundation year for students who need additional preparation, a placement year for professional experience, and a year abroad, alongside work placement opportunities throughout. You will develop a deep understanding of core physics alongside advanced mathematical and computational techniques including machine learning and data analysis. The programme is designed for students who are passionate about physics but fascinated by the analytical power of data science, and it prepares you to apply the rigour of physical thinking to data-intensive problems across science, technology and industry.

Graduates of physics with data science programmes are exceptionally well positioned in the job market. Research roles in academic physics, astrophysics, climate science and quantum computing are natural directions for those who want to remain close to scientific research. The data science skills the programme develops are also highly valued in finance, technology, healthcare analytics, engineering and the energy sector, where the ability to work with complex datasets and build predictive models is in growing demand.

Many graduates pursue postgraduate research in physics or data science, while others move directly into industry roles where quantitative and computational skills are central.