BSc Physics
Entry requirements
A level: AAA-AAB including physics (minimum grade A) and either mathematics or further mathematics (minimum grade A) or AABC including physics (minimum grade A) and either mathematics or further mathematics (minimum grade A) - ABBC including grades AB in physics and either mathematics or further mathematics IB: Pass, with 36-34 points overall with 18-17 points 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
Bachelor of Science in Physics, a physics degree centred on the fundamental laws and principles governing our universe. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, and Artificial Intelligence & Machine Learning. Students can switch to the four-year master's programme after two years, and the course is accredited by the Institute of Physics. The first year establishes core foundations through modules such as Energy and Matter, Motion and Relativity, Physics Skills - Programming and Data Analysis, and Waves, Light and Quanta, alongside optional choices like Concepts in Machine Learning for Physicists. The second year advances core knowledge via Classical Mechanics, Electromagnetism, Quantum Physics, and Statistical Mechanics, with further study shaped by options including Global Health and Medical Physics. The final year focuses on advanced research and synthesis through compulsory modules like Atomic Physics, Bachelor of Science Project, Crystalline Solids, and Nuclei and Particles, while optional modules such as Computer Techniques in Physics, Particle Physics, and Stellar Evolution allow targeted specialisation.
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 Health
- 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
- BSc Final Year Synoptic Examination
- Bachelor of Science Project
- Crystalline Solids
- Nuclei and Particles
- Advanced Quantum Physics
- Computer Techniques in Physics
- Cosmology and the Early Universe
- Galaxies
- Global Sustainability Challenges
- Intercultural Communication in a Global World
- Introduction to Energy in The Environment
- Lasers
- Lasers and Quanta 2
- Light and Matter
- Mathematical Methods for Scientists
- Medical Physics
- Nanoscience: technology and advanced materials
- Numerical Methods
- Partial Differential Equations
- Particle Physics
- Photons in Astrophysics
- Physics of the Upper Atmosphere
- Quantum Optics
- Relativity, Black Holes and Cosmology
- Space Plasma Physics
- Stellar Evolution
- Theories of Matter, Space and Time
- Vector Calculus and Complex Variable Theory