MPhys Engineering Physics
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 Engineering Physics, a physics degree bridging fundamental physical principles with engineering and technology applications. Core topics include Programming, Systems Design, Circuit Design, Embedded Systems, Signal Processing, Microelectronics, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, Research Methods, Project Management, Engineering Design, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. Students select a specific engineering stream at the end of the first year, choosing from materials engineering, electrical engineering, and mechanical and manufacturing engineering. This integrated master's qualification fully satisfies the educational requirements for Chartered Physicist and Chartered Scientist status. The first year covers core foundations through Mathematics for Physics I, Fundamentals of Laboratory Physics, Computational Physics: Modelling, Simulation and Good Practice, and Core Physics I: Foundations of Physics. The second year expands into advanced analytical and experimental concepts with Mathematics for Physics II, Core Physics IV: Thermal and Statistical Physics, Core Physics V: Solid State Physics, and Physics Laboratory: Design and analysis for science and industry. In the third year, students undertake a group project alongside modules such as Advanced Statistical Physics, Condensed Matter Physics, and Nuclear Physics. The final year centres on an extensive Physics Research Project (MPhys Project) paired with specialized options including Solar Photovoltaics, Advanced Digital and IoT Communication Technologies, and Mechatronic System Design.
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
- Mathematics for Physics II
- Core Physics IV: Thermal and Statistical Physics
- Core Physics V: Solid State Physics
- Mathematics for Physics III
- Core Physics III: Quantum Physics
- Physics Laboratory: Design and analysis for science and industry
- Advanced Computational Modelling and Simulation
- Control System Design
- Data Analysis and Modelling
- Mechanics
- Manufacturing Processes and Digital Production Technologies
- Group Project
- Physics Final Year Project
- Advanced Statistical Physics
- Condensed Matter Physics
- Surfaces, Thin Films and High Vacuum
- Nuclear Physics
- Photonics
- Medical Physics
- High Energy Particle Physics
- Physics of Nanodevices: from semiconductors to magnets
- Electronics
- Mechatronics and Instrumentation
- Advanced Principles of Materials
- Industrial Case Studies
- Composite Materials
- Nanomaterials
- Biomaterials 2 (Biomaterials for Drug Delivery)
- Functional Materials
- Mechanics 2
- Thermofluids 2
- Computational Fluid Dynamics 2
- Control System Design
- Engineering Systems and Management
- Physics Research Project (MPhys Project)
- Solar Photovoltaics
- Electrical Power and Energy Engineering
- Integration of Renewables
- Wind Power
- Statistical Methods and Machine Learning
- Machine Learning - Principles and Applications for Engineers
- Acoustic Signal Processing
- Antennas, Radar and Metamaterials
- Advanced Digital and IoT Communication Technologies
- Materials Modelling
- Nanomaterials and Composites
- Advances in Biomaterials
- Advanced Processing of Materials
- Engineering Dynamics for Digital Twins
- Advanced Heat Transfer
- Laser and Optical Measurements
- Additive Manufacturing and Reverse Engineering
- Mechatronic System Design
- Systems Architecture
- Validation and Verification
- Modelling, Simulation and Visualisation for Engineering