📖Program Curriculum
Semester 1 & 2
Compulsory
Mathematics for Physics I
Fundamentals of Laboratory Physics
Computational Physics: Modelling, Simulation and Good Practice
Methods, Philosophy and Frontiers of Physical Science
Semester 1
Compulsory
Core Physics I: Foundations of Physics
Semester 2
Compulsory
Core Physics II: Classical Physics of Particles, Fields and DevicesSemester 1 & 2
Compulsory
Mathematics for Physics II
Physics Laboratory: Design and analysis for science and industry
Advanced Computational Modelling and Simulation
Data, Algorithms and Optimisation
Semester 1
Compulsory
Core Physics III: Quantum Physics
Semester 2
Compulsory
Core Physics IV: Thermal and Statistical Physics
Core Physics V: Solid State Physics
Semester 1 & 2
Compulsory
AI Methods
Group Project
Research Methods in Physics
Semester 1
Optional
Advanced Statistical Physics
Condensed Matter Physics
Surfaces, Thin Films and High Vacuum
Nuclear Physics
Semester 2
Optional
Data Mining and Machine Learning
Studies in Science and Mathematics Education
Modern Optics
Medical Physics
High Energy and Plasma Physics
Physics of Devices
Semester 1 & 2
Compulsory
Physics Research Project (MPhys Project)
Semester 1
Optional
Programming for Specialist Applications
Programming for Data Science
Artificial Intelligence
Machine Learning
Cryptography and Secure Systems
Robotics and Intelligent Systems
Programming and Numerical Methods
Mathematical Modelling I
Statistical Methods and Data Analysis
Characterisation Techniques in Solid State Physics
Topics in Advanced Quantum Mechanics
Mathematical Methods for Interdisciplinary Sciences
Semester 2
Optional
Computer Vision
Big Data Analytics and Visualisation
AI and Applied Machine Learning
Data Mining
Statistics for Large Data
Computational Methods in Finance
Stochastic Calculus and Theory of Pricing
Mathematical Modelling II
Physics of Complex Systems
Superconductivity and Nanoscience
Quantum Computing