MPhys Physics with Industrial Placement
Entry requirements
A level: A*AA-AAA including physics (minimum grade A) and either mathematics or further mathematics (minimum grade A) or AABB-AABC including physics (minimum grade A) and either mathematics or further mathematics (minimum grade A) IB: Pass, with 38-36 points overall, with 19-18 points required at Higher Level, including 6 at Higher Level in mathematics (Analysis and Approaches or Applications and Interpretation) and 6 at Higher Level in physics
About this course
Master of Physics in Physics with Industrial Placement, a physics degree centred on the study of matter, energy, and physical phenomena. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, Research Methods, and Artificial Intelligence & Machine Learning. Students complete a six-month paid industry placement during the fourth year, allowing them to undertake a commercial research and development project without extending the overall four-year duration of the degree. The first year covers core foundations through compulsory modules such as Electricity and Magnetism, Motion and Relativity, and Physics Skills - Programming and Data Analysis, alongside optional choices like Concepts in Machine Learning for Physicists. The second year progresses to subjects like Classical Mechanics, Quantum Physics, and Electromagnetism, with options including Medical Physics and Mathematical Methods for Scientists. In the third year, students study compulsory topics such as Atomic Physics, Crystalline Solids, and Nuclei and Particles, while also completing a Dissertation. The final year involves advanced synoptic examinations and an extended research and development project for the industrial placement, complemented by optional modules such as Advanced Lasers and Quantum Information.
Modules
- Electricity and Magnetism
- Energy and Matter
- Mathematical Methods For Physical Scientists 1b
- Mathematical Methods for Physical Scientists 1a
- Motion and Relativity
- Physics Skills - Programming and Data Analysis
- Physics Skills 1
- Physics Skills 2
- Waves, Light and Quanta
- Concepts in Machine Learning for Physicists
- Introduction to Astronomy and Space Science
- Lasers and Quanta 1
- Linear Algebra for Physics
- Classical Mechanics
- Electromagnetism
- Physics from Evidence I
- Quantum Physics
- Statistical Mechanics
- Wave Physics
- Concepts of Quantum Science and Nano-technology
- Galaxies
- Global Sustainability Challenges
- Intercultural Communication in a Global World
- Introduction to Energy in The Environment
- Lasers and Quanta 2
- Mathematical Methods for Scientists
- Medical Physics
- Partial Differential Equations
- Reason and Argument
- Vector Calculus and Complex Variable Theory
- Atomic Physics
- Computer Techniques in Physics
- Crystalline Solids
- Dissertation
- Nuclei and Particles
- Physics from Evidence II
- Theories of Matter, Space and Time
- Advanced Quantum Physics
- Cosmology and the Early Universe
- Galaxies
- Intercultural Communication in a Global World
- Introduction to Energy in The Environment
- Lasers
- Lasers and Quanta 2
- Mathematical Methods for Scientists
- Medical Physics
- Nanoscience: technology and advanced materials
- Numerical Methods
- Partial Differential Equations
- Particle Physics
- Photons in Astrophysics
- Quantum Optics
- Relativity, Black Holes and Cosmology
- Space Plasma Physics
- Stellar Evolution
- Vector Calculus and Complex Variable Theory
- MPhys Final Year Synoptic Examination
- R&D Project for MPhys Industrial Placement
- Advanced Lasers
- Biomedical Application of Signal and Image Processing
- Computer Techniques in Physics
- Cosmology and the Early Universe
- Human Responses to Sound and Vibration
- Nanoscience: technology and advanced materials
- Particle Physics
- Physics from Evidence II
- Physics of the Upper Atmosphere
- Quantum Information
- Relativity, Black Holes and Cosmology