Physics with Artificial Intelligence

Are you interested in physics and computer science, but finding it hard to decide which one to study? This course will allow you to study both.

Get an introduction to modern physics, computer science, machine learning and artificial intelligence (AI) with our master's degree.

You'll work towards understanding the main branches and principles of physics, as well as topics in the growing trend of AI. Study advanced concepts and techniques, such as quantum science and relativity. Learn the techniques needed to design the next generation of experiments and solve complex problems in the modern world.

This course is informed by the latest research and taught by physicists and computer scientists with an outstanding international reputation. You'll be able to tailor your learning to deepen your knowledge of physics and AI, as well as subjects such as electronics and computer science.

As a physics with AI student, you'll also be able to access our high-performance computing facilities.

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.