Physics with Computer Science

Physics with computer science is a combination that sits at the intersection of two disciplines that have driven the modern world. Physics provides a deep understanding of the natural laws that govern matter and energy, developing rigorous mathematical thinking and the capacity to model complex systems. Computer science supplies the algorithmic and computational tools that are increasingly used to simulate physical systems, analyse scientific data and build the software infrastructure of contemporary life.

Together they equip you to work at the boundary between physical understanding and computational power.

At the University of Nottingham, this four-year full-time programme includes a foundation year, which provides thorough preparation in mathematics and the sciences before the main degree begins, making it well suited to students who wish to build their foundations systematically. You will study classical and modern physics, quantum mechanics, electromagnetism and thermodynamics alongside core computer science topics including programming, algorithms, data structures, software engineering and computational methods. The programme develops both your physical intuition and your computational skills, training you to approach problems from two complementary directions.

Graduates are well placed for careers that benefit from the combination of physical understanding and computing ability. Scientific computing, data science, software engineering, engineering simulation, machine learning, financial modelling, telecommunications and academic research are all accessible pathways. The quantitative analytical skills developed through physics, combined with the practical software and algorithmic skills from computer science, make graduates attractive to a wide range of employers in technology, finance and science-based industries.

Postgraduate study in physics, computer science, data science or interdisciplinary fields such as computational physics provides a route for those who wish to specialise further.