Programme structure
The programme option Physics is built around a Master's thesis, which is an independent scientific research work of 60 ECTS credits, and six courses with a total of 60 ECTS credits.
The programme contains mandatory courses. For general structure and mandatory requirements, please see the programme structure.
Recommended courses
Recommended courses with a large computational element:
- FYS4150 – Computational Physics
- FYS4411 – Computational Physics II: Quantum Mechanical Systems
- FYS4460 – Disordered Systems and Percolation
- FYS5429 – Advanced machine learning and data analysis for the physical sciences
- MAT-MEK4270 – Numerical methods for partial differential equations
Recommended courses spanning from mathematical methods to quantum-mechanics, machine learning and life science:
- FYS4130 – Statistical Mechanics
- FYS4170 – Relativistic Quantum Field Theory
- FYS4480 – Quantum mechanics for many-particle systems
- FYS5419 – Quantum computing and quantum machine learning
- BIOS-IN5010 – Computational physiology
- STK-IN4300 – Statistical Learning Methods in Data Science
- IN4310 – Deep Learning for Image Analysis
Published Dec. 22, 2016 1:12 PM
- Last modified Oct. 13, 2025 12:20 PM