MPhys Theoretical Physics
Entry requirements
A level: AAA IB: 34 points
About this course
An MPhys in Physics. Core topics include Mathematical Modelling, Microelectronics, Artificial Intelligence & Machine Learning, Data Analysis, and Statistics. Modules are based on current faculty research, and an optional year abroad or industry placement is available. The final year includes an advanced research project in mathematical physics.
Modules
- Analysis 1
- Foundations of Data Analysis
- Mathematical Methods for Physics 1
- Mechanics
- Physics Study Success
- Analysis 2
- Heat and Modern Physics
- Mathematical Methods for Physics 2
- Waves and Fields
- Applying Physics Skills
- Electrodynamics
- Mathematical Methods for Physics 3
- Quantum Mechanics 1
- Theoretical Physics
- Thermal and Statistical Physics
- Calculus of Several Variables
- Ordinary Differential Equations
- Applied Machine Learning
- Differential Equations with Modelling
- Galaxies and the Cosmos
- Scientific Computing
- Mathematical Physics Projects
- Atomic Physics
- Condensed State Physics
- Nuclear and Particle Physics
- Complex Analysis (L6)
- Quantum Mechanics 2
- Dynamical Systems (L6)
- Financial Derivatives
- Lasers and Photonics
- Monte Carlo Simulations (L6)
- Numerical Solution of Partial Differential Equations (L.6)
- Particle Physics
- Semiconductors and Nanomaterial Devices (L6)
- Stellar and Planetary Physics
- MPhys Final Year Project
- Applied Numerical Analysis (L.7)
- Atom Light Interactions
- Cosmology
- Data Analysis Techniques
- Financial Mathematics (L.7)
- Galactic Astrophysics
- General Relativity
- Probability Models (L7)
- Quantum Field Theory
- Quantum Optics and Quantum Information
- Advanced Cosmology
- Advanced Quantum Field Theory
- Astrophysical Processes
- Beyond the Standard Model
- Electrons, Cold Atoms & Quantum Circuits
- Frontiers in Particle Physics
- Monte Carlo Simulations (L7)
- Numerical Solution of Partial Differential Equations (L.7)
- Practical Quantum Technologies