Physics with Artificial Intelligence

Summary

Physics or computer science? You do not have to choose. This course brings both together, giving you the tools to understand the universe and the technology shaping its future.

Explore the foundations of modern physics alongside the fast-moving world of artificial intelligence and machine learning. From quantum science and relativity to computational thinking, you will build a skill set that spans theory, data and real-world problem solving.

Here, your learning is shaped by the latest research. You will be taught by physicists and computer scientists whose work is influencing the future of both fields, bringing new ideas directly into your studies.

Key features of the course

Combine two powerful disciplines. Study core areas of physics alongside computer science, AI and machine learning.

Go further into advanced topics such as quantum science and relativity, while developing the skills to design experiments and solve complex challenges.

Shape your degree around your interests. Choose modules that deepen your knowledge of physics, AI, electronics and computing.

Work with the tools used in cutting-edge research, including access to high-performance computing facilities.

Student support

Your Personal Academic Tutor will support you throughout your degree, offering guidance on your studies, career planning and access to wider support services.

You will study as part of a collaborative community, learning alongside students and academics across physics and computer science.

Further information

This degree opens up a wide range of career opportunities at the intersection of science and technology. Graduates move into roles in AI, data science, research, engineering and beyond.

With a blend of scientific understanding and computational expertise, you will be prepared to tackle complex problems in a rapidly evolving world.

Course Modules

Typical modules include: Year one: Electricity and Magnetism; Energy and Matter; Mathematical Methods for Physical Scientists; Motion and Relativity; Physics Skills; Waves, Light and Quanta; Physics Skills - Programming and Data Analysis; Concepts in Machine Learning for Physicists. Year two: Classical Mechanics; Electromagnetism; Physics from Evidence I; Quantum Physics; Statistical Mechanics; Wave Physics; Artificial Intelligence and Learning Machines; Machine Learning I. Year three: Atomic Physics; Computer Techniques in Physics; Crystalline Solids; Artificial Intelligence Dissertation; Nuclei and Particles; Machine Learning II; Natural Language Processing OR Parallel Programming; Theories of Matter, Space and Time. Year four: MPhys Final Year Synoptic Examination; MPhys Project on Artificial Intelligence; Artificial Intelligence Applications in Physics; Data Visualisation; Advanced Machine Learning plus additional module options. Throughout your degree, you’ll also develop key transferable skills such as problem solving, data analysis and computing, which are sought after by a range employers. During year two, you’ll also have access to a programme of physics-focused career sessions, timetabled to fit in with your studies, which include application and interview workshops as well as talks from visiting professionals.

For this programme, assessment in the first and second year is a mixture of unseen written examinations, marked problem-based coursework and laboratory work and computer-based work. In the third year assessment is mainly by examination, although laboratory-based, computer-based and dissertation modules will use different assessment methods, as appropriate. The fourth year includes a project which involves continuous assessment, written reports and an oral examination.