MPhys Physics with Climate Science
Entry requirements
A level: ABB including Physics and Maths
About this course
MPhys in Physics and Earth and Environmental Sciences, covering core physics alongside climate science and environmental processes. Core topics include Programming, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. The degree includes a Research Project and a Sustainability Enterprise Partnership Project, and is accredited by the Institute of Physics (IOP), meeting the educational requirements for Chartered Physicist registration.
Modules
- Mechanics
- Electricity and Magnetism
- Mathematical Physics 1.1
- Light and Matter
- Waves and Quanta
- Mathematical Physics 1.2
- Physics Skills and Professional Development 1
- Experimental Physics 1
- Foundations in Modern Scientific Frontiers
- Mathematical Physics 2
- Relativity, Quantum Physics and Particles
- Electromagnetic Fields
- Thermal and Statistical Physics
- Condensed Matter Physics
- Physics Skills and Professional Development 2
- Experimental Physics 2
- Intermediate Astrophysics and Climate Science
- Intermediate Space Science and Climate Science
- Intermediate Data Science and Climate Science
- Physics Skills and Professional Development 3
- Quantum Mechanics
- Radiation and Matter
- Physics Challenge
- Research Project
- Sustainability Enterprise Partnership Project
- Climate Change: Impacts, Vulnerability and Adaptation
- Elementary Particles: The Standard Model and Beyond
- Stellar Astrophysics
- Planetary Physics
- Models and Methods for Scientific Data
- Industry Project
- Astrodynamics
- Physics in Education
- Python
- Numerical Programming in C++
- Mathematical Physics 3
- Physics Special Topics
- Physics Skills and Professional Development 4
- Advanced Research Project
- Earth Observation of the Atmosphere
- Scientific Data Analysis
- Space Plasmas and Planetary Atmospheres
- Radiative Processes in Astrophysics
- General Relativity and Quantum Fields
- Quantum Theory of Solids
- Advanced Space Science
- Supermassive Black Holes and Exoplanets
- Computational Fluid and Space-Phase Flows
- Data Mining and Neural Networks