MPhys Theoretical Physics
Entry requirements
A Level: AAA IB: 36, with 6 in Higher Level Maths and Physics; 34, with 6 in Higher Level Maths and Physics, and A in a physics-based extended essay
About this course
MPhys in Theoretical Physics MPhys, a physics degree centred on mathematical and computational approaches to physical theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, and Research Methods. Students complete a substantial final-year research project. The first year covers core foundations through modules such as Fundamental Physics and Mathematics I: Mechanics, Oscillations, Waves and Thermal Physics, Fundamental Physics and Mathematics II: Electricity, Magnetism and Quantum Physics, Investigating Nature: the Physicist's Toolbox, and Mathematical modelling. The second year builds further mathematical and computational grounding through Differential equations, Scientific Data Processing and Python, Fundamental Physics and Mathematics III, and Fundamental Physics and Mathematics IV. The third year continues with Mathematical and Physical Sciences Projects and Professional Skills and Mathematical Physics and Analytical Dynamics, alongside optional topics such as Atomic and Particle Physics, Semiconductor Photonics and Quantum Technologies, Experimental Nuclear and Particle Physics, Dark Matter and Cosmology, Solid State and Statistical Physics, Biological and Soft Matter Physics, Machine Learning, Planets and Astrobiology, and Quantum Theory and Electrodynamics. The fourth year centres on a major Research Project, alongside optional advanced modules including Fundamental Physics from Symmetries, Photonics and Nonlinear Optics, The Standard Model of Particle Physics, Scientific Computing, Nuclear Astrophysics, Quantum Field Theory, General Relativity, Quantum Computing, and Enterprise and Innovation.
Modules
- Fundamental Physics and Mathematics I: Mechanics, Oscillations, Waves and Thermal Physics
- Fundamental Physics and Mathematics II: Electricity, Magnetism and Quantum Physics
- Investigating Nature: the Physicist's Toolbox
- Mathematical modelling
- Fundamental Physics and Mathematics III
- Fundamental Physics and Mathematics IV
- Differential equations
- Scientific Data Processing and Python
- Mathematical and Physical Sciences Projects and Professional Skills
- Mathematical Physics and Analytical Dynamics
- Atomic and Particle Physics
- Semiconductor Photonics and Quantum Technologies
- Experimental Nuclear and Particle Physics
- Dark Matter and Cosmology
- Solid State and Statistical Physics
- Biological and Soft Matter Physics
- Machine Learning
- Planets and Astrobiology
- Quantum Theory and Electrodynamics
- Research Project
- Fundamental Physics from Symmetries
- Photonics and Nonlinear Optics
- The Standard Model of Particle Physics
- Scientific Computing
- Nuclear Astrophysics
- Quantum Field Theory
- General Relativity
- Quantum Computing
- Enterprise and Innovation