BSc Physics with Computing
Entry requirements
A level: AAB including Maths and Physics Applicants without A level Physics may be considered on a case-by-case basis. IB: 35 (6,6,5 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 B. 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 B. BTEC Level 3 National Extended Certificate: D plus two A levels at Grades AB 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
BSc (Hons) in Physics with Computing, a physics degree situated in the subject area of Physics. Core topics include Programming, Signal Processing, Microelectronics, Statistics, Mathematical Modelling, Laboratory Techniques, Project Management, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. The course is available as a four-year full-time option with a placement year or as a three-year full-time pathway. 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 progresses with Core Physics III: Quantum Physics, Physics Laboratory: Design and analysis for science and industry, Advanced Computational Modelling and Simulation, and Data, Algorithms and Numerical Optimisation. The final year includes compulsory study in Artificial Intelligence and Machine Learning, Group Project, and Physics Final Year Project. Optional modules allow students to explore areas such as Advanced Statistical Physics, Condensed Matter Physics, Nuclear Physics, Photonics, and Medical Physics.
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
- Physics Final Year Project
- 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