MPhys Physics (research placement)
Entry requirements
A level: A*AA IB: 36 points
About this course
MPhys in Physics. Core topics include Microelectronics, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The course includes a summer research placement with funding provided for living expenses. In the final year, students undertake a research project with a departmental research group.
Modules
- Foundations of Data Analysis
- Mathematical Methods for Physics 1
- Mechanics
- Physics Study Success
- Heat and Modern Physics
- Mathematical Methods for Physics 2
- Physics Year 1 Laboratory
- Waves and Fields
- Analysis 1
- Introduction to Astrophysics
- Introduction to Quantum Physics
- Applying Physics Skills
- Electrodynamics
- Mathematical Methods for Physics 3
- Physics Year 2 Laboratory
- Summer Research Placement 1
- Quantum Mechanics 1
- Thermal and Statistical Physics
- Applied Machine Learning
- Galaxies and the Cosmos
- Scientific Computing
- Theoretical Physics
- Advanced Physics Laboratory A
- Atomic Physics
- Condensed State Physics
- Nuclear and Particle Physics
- Summer Research Placement 2
- Advanced Physics Laboratory B
- Quantum Mechanics 2
- Financial Derivatives
- Lasers and Photonics
- Monte Carlo Simulations (L6)
- Particle Physics
- Semiconductors and Nanomaterial Devices (L6)
- Stellar and Planetary Physics
- MPhys Final Year Project
- Atom Light Interactions
- Cosmology
- Data Analysis Techniques
- Galactic Astrophysics
- General Relativity
- 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)
- Practical Quantum Technologies