BSc Physics with Medical Physics
Entry requirements
A Level: A*AA /AAAA to include A-level Mathematics and A-level Physics grades A*A (or AA as part of the four A level offer).. IB: 7,6,6 at HL, to include Mathematics and Physics, with a minimum of 32 points overall. 7 must be in Mathematics or Physics.. BTEC: options considered when combined with other Maths and Physics qualifications.
About this course
Bachelor of Science in Physics with Medical Physics, a physics degree focused on the principles of physics and their application to medical technology. Core topics include Statistics, and Artificial Intelligence & Machine Learning. Students complete a final-year project alongside core laboratory and computing work. The first year covers foundational principles through Statistics, Thermodynamics, and Electronics, Classical Mechanics and Relativity, and Mathematics for Physicists 1. The second year progresses with Statistical Physics and Optics, Modern Physics, and Medical Physics Laboratory. The final year allows students to select from modules such as Particle Physics, Nuclear Physics and Nuclear Power, Stars and Exoplanets, and Gravitation, Cosmology and Galaxies, while also undertaking the Year 3 Physics Project.
Modules
- Statistics, Thermodynamics, and Electronics
- Quantum Mechanics, Optics, Waves, and Electromagnetism
- Classical Mechanics and Relativity
- Physics Laboratory 1
- Mathematics for Physicists 1
- Discover: Skills, Computing and Medical Physics
- Mathematics for Physicists 2
- Statistical Physics and Optics
- Quantum Mechanics and Electromagnetism 2
- Modern Physics
- Medical Physics Laboratory
- Challenge: Skills, Computing and Medical Physics
- Quantum Mechanics and Statistical Physics
- Year 3 Physics Project
- Medical Physics
- Laboratory and Computing
- Laboratory
- Particle Physics
- Nuclear Physics and Nuclear Power
- Stars and Exoplanets
- Advanced Dynamics, and Relativistic Fields
- Chaos Dynamical Systems and Complex Variables
- Atomic, Condensed Matter and Photonic Physics
- Gravitation, Cosmology and Galaxies
- Professional Science Communication and Teaching
- Machine Learning and Inference from Data