MPhys Physics with Computing
Entry requirements
A level: AAA including Maths and Physics Applicants without A level Physics may be considered on a case-by-case basis. IB: 37 (6,6,6 HL) including Maths and Physics at HL BTEC: BTEC Level 3 National Extended Diploma in Applied Science or Engineering: DDD with Distinctions in units 1-5 (Applied Science) or in units 1, 7, 8, 19 - 21, 25, 29 or 31 or 35 (Engineering) plus A level Maths at Grade A. BTEC Level 3 National Diploma in Applied Science or in Engineering: DD including Distinctions in units 1-5 (Applied Science) or in units 1, 7, 8, 19 - 21, 25, 29 or 31 or 35 (Engineering) plus A level Maths at Grade A. BTEC Level 3 National Extended Certificate: D plus two A levels at Grades AA including Maths and Physics. Preferred BTEC: Applied Science or Engineering (Engineering BTEC includes Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Computer Engineering).
About this course
MPhys (Hons) in Physics with Computing, a physics degree focused on the intersection of physical theory, mathematics, and computation. Core topics include Programming, Signal Processing, Microelectronics, Statistics, Mathematical Modelling, Laboratory Techniques, Research Methods, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. The MPhys qualification fully satisfies the educational requirements for Chartered Physicist and Chartered Scientist status, and includes an extended research project in the final year. The course begins in the first year with foundational studies covering Mathematics for Physics I, Fundamentals of Laboratory Physics, Computational Physics: Modelling, Simulation and Good Practice, Core Physics I: Foundations of Physics, Methods, Philosophy and Frontiers of Physical Science, Core Physics II: Classical Physics of Particles and Fields, and Applications of the scientific method. The second year progresses through Core Physics III: Quantum Physics, Physics Laboratory: Design and analysis for science and industry, Advanced Computational Modelling and Simulation, Data, Algorithms and Numerical Optimisation, Mathematics for Physics II, Core Physics IV: Thermal and Statistical Physics, Core Physics V: Solid State Physics, and Mathematics for Physics III. The third year introduces Artificial Intelligence and Machine Learning, Group Project, and Research Methods in Physics, alongside optional choices such as Advanced Statistical Physics, Condensed Matter Physics, Surfaces, Thin Films and High Vacuum, Nuclear Physics, Data Mining and Machine Learning, Studies in Science and Mathematics Education, Photonics, Medical Physics, High Energy Particle Physics, Physics of Nanodevices: from semiconductors to magnets, and a University-wide Language Programme. The fourth year centres on the Physics Research Project (MPhys Project), supported by optional modules including Machine Learning, Robotics and Intelligent Systems, Mathematical Modelling I, Physics of Complex Systems, Foundations in Quantum Engineering, Radiotherapy and Nuclear Medicine, Emergent Phenomena in Condensed Matter, Computer Vision, Computational Methods in Finance, Mathematical Modelling II, Applications of quantum engineering, Advanced Photonics, Stochastic Processes in Interdisciplinary Science, and Statistics for Large Data.
Modules
- Mathematics for Physics I
- Fundamentals of Laboratory Physics
- Computational Physics: Modelling, Simulation and Good Practice
- Core Physics I: Foundations of Physics
- Methods, Philosophy and Frontiers of Physical Science
- Core Physics II: Classical Physics of Particles and Fields
- Applications of the scientific method
- Core Physics III: Quantum Physics
- Physics Laboratory: Design and analysis for science and industry
- Advanced Computational Modelling and Simulation
- Data, Algorithms and Numerical Optimisation
- Mathematics for Physics II
- Core Physics IV: Thermal and Statistical Physics
- Core Physics V: Solid State Physics
- Mathematics for Physics III
- Artificial Intelligence and Machine Learning
- Group Project
- Research Methods in Physics
- Advanced Statistical Physics
- Condensed Matter Physics
- Surfaces, Thin Films and High Vacuum
- Nuclear Physics
- Data Mining and Machine Learning
- Studies in Science and Mathematics Education
- Photonics
- Medical Physics
- High Energy Particle Physics
- Physics of Nanodevices: from semiconductors to magnets
- University-wide Language Programme
- Physics Research Project (MPhys Project)
- Machine Learning
- Robotics and Intelligent Systems
- Mathematical Modelling I
- Physics of Complex Systems
- Foundations in Quantum Engineering
- Radiotherapy and Nuclear Medicine
- Emergent Phenomena in Condensed Matter
- Computer Vision
- Computational Methods in Finance
- Mathematical Modelling II
- Applications of quantum engineering
- Advanced Photonics
- Stochastic Processes in Interdisciplinary Science
- Statistics for Large Data