Computing Science and Physics

Computing science and physics are deeply intertwined disciplines. Modern physics relies on computational methods for simulation, data analysis, and modelling at every scale from particle physics to astrophysics. Computing science, in turn, draws on physical principles for the design of hardware, and on mathematical frameworks that have their roots in theoretical physics.

For students with a strong interest in both, studying them together is not merely a convenience: it creates genuine intellectual synergies that neither subject offers alone.

At the University of Aberdeen this four-year, full-time programme develops your abilities across both fields in a programme that recognises how closely linked they are. You will study the core areas of computing science, including algorithms, data structures, software engineering, programming, and artificial intelligence, alongside the major branches of physics, including mechanics, electromagnetism, quantum theory, thermodynamics, and the methods of experimental and computational physics. The combination gives you a scientific understanding of how the physical world works and the computational skills to model, analyse, and reason about it precisely.

A year abroad is built into the programme, broadening your academic experience and giving you exposure to different research environments.

Graduates with this combination are particularly well placed for careers in scientific computing, computational modelling, data science, and research at the intersection of physics and technology. Many move into roles in energy, materials science, telecommunications, financial modelling, aerospace, and the technology sector, where the ability to understand physical systems and to build computational tools for analysing them is directly relevant. Academic research in areas such as computational physics, quantum computing, and machine learning is also a well-established path.

Further study at Masters or doctoral level is available for those who want to specialise in a particular area of research or development, and the combination provides strong foundations for any postgraduate programme in physics, computing, or an interdisciplinary field.