MSc Applied Physics
Course Overview
Our MSc in Applied Physics is a career-focused program designed for physical sciences and engineering graduates seeking to specialize in high-demand technological fields. You will master advanced theories and practical techniques through a flexible curriculum tailored to your professional interests. The program culminates in a personalized research project, allowing you to apply your knowledge to a real-world challenge and develop highly transferable problem-solving skills.
Key Program Highlights
- Specialize in cutting-edge fields like photonics, quantum technology, and laser-based particle acceleration
- Develop highly sought-after, transferable skills in advanced problem-solving and data analysis
- Tailor your degree with a wide selection of elective classes to match your career goals
- Gain hands-on, professional experience through an individualized research project
- Master the application of high-power microwave and solid-state physics in industrial settings
Course Overview
Our MSc in Applied Physics is a career-focused program designed for physical sciences and engineering graduates seeking to specialize in high-demand technological fields. You will master advanced theories and practical techniques through a flexible curriculum tailored to your professional interests. The program culminates in a personalized research project, allowing you to apply your knowledge to a real-world challenge and develop highly transferable problem-solving skills.
Key Program Highlights
- Specialize in cutting-edge fields like photonics, quantum technology, and laser-based particle acceleration
- Develop highly sought-after, transferable skills in advanced problem-solving and data analysis
- Tailor your degree with a wide selection of elective classes to match your career goals
- Gain hands-on, professional experience through an individualized research project
- Master the application of high-power microwave and solid-state physics in industrial settings
Requirements
Modules
- Modelling & Simulation With Applications To Financial Derivatives
- Applicable Analysis 3
- Fluids & Waves
- Finite Element Methods For Boundary Value Problems & Approximation
- Optimisation: Theory
- Applied Mathematical Methods 1
- Foundations Of Statistics
- Mathematical Biology & Marine Population Modelling
- Mathematical Introduction To Networks
- Optimisation For Analytics
- Medical Statistics
- Effective Statistical Consultancy
- Survey Design & Analysis
- Quantitative Risk Analysis
- Bayesian Spatial Statistics
- Statistical Machine Learning
- Data Dashboards With Rshiny
- Deep Learning
- Numerical Methods & Deep Learning Algorithms For Partial Differential Equation
- Mathematics Of Machine Learning
- Research Project
