Physics with Artificial Intelligence
Entry requirements
A level: AAA BTEC: BTEC qualifications in relevant disciplines are considered in combination with A Level Physics and Mathematics. Applicants should contact the School to discuss. IB: 18 points at Higher Level to include 5 in Higher Level Physics and 5 in Higher Level Mathematics.
About this course
MPhys, BSc in Physics with Artificial Intelligence, a physics and computer science (artificial intelligence) degree. Core topics include Research Methods and Artificial Intelligence & Machine Learning. The final year includes an Integrated Masters Research Project. The third year covers Advancing AI: Deep Learning for Scientists and Advanced Techniques in Physics with AI alongside optional modules such as Advanced Quantum Physics and Cosmology. The fourth year features compulsory study in Advanced topics of AI and the Integrated Masters Research Project. Optional modules span areas like Quantum Field Theory, General Relativity, and Exoplanetary Systems.
Modules
- Advancing AI: Deep Learning for Scientists
- Advanced Techniques in Physics with AI
- Advanced Quantum Physics
- Quantum Matter
- Advanced Optics with Photonics
- Magnetism and Ferroic Materials
- Theoretical Elementary Particle Physics
- Advanced Mechanics
- Molecular Simulation with Machine Learning: Theory and Practice
- Star and Planet Formation
- Cosmology
- Physics in Schools
- Group Innovation Project
- Integrated Masters Research Project
- Advanced topics of AI
- Soft Matter Physics: Liquid Crystals
- Quantum Field Theory
- Winds, Bubbles and Explosions
- Advanced Bionanophysics Research
- Quantum Information Science and Technology
- Current Research Topics in Physics
- Physics of Biological Systems
- Exoplanetary Systems
- Quantum Many-Body Physics
- Soft Matter Physics: Polymers, Colloids and Glasses
- General Relativity
- Superconductivity
- Advanced Physics in Schools
- Group Innovation Project in Sustainability