Theoretical and Computational Physics

Physics becomes precise when ideas are turned into models, and useful when models are turned into simulations. Many of today's most exciting questions, such as how quantum matter behaves, what holds a new material together, or what a black hole has in common with a strongly interacting fluid, are answered on paper and on supercomputers as much as in the lab. Machine learning and quantum computing are now changing how physicists build and test models.

The courses span the full range from fundamental theory to large-scale simulation. On the theoretical side you find Symmetry, Statistical physics, Quantum field theory, Gravitation and cosmology, and String theory. On the computational side, you find Computational physics, Computational materials and molecular physics, and Advanced simulation and machine learning. In project-based courses, you write real code, use high-performance computing, and learn to judge when a model can be trusted.

You are taught by researchers working on quantum matter, materials modeling, gravity and holography, dark matter and data-driven physics. Your master's thesis has a real chance to advance current research forward.

Graduates continue to doctoral studies in Sweden and abroad, or work where modeling and simulation are the core skills. Typical roles include computational scientist or simulation engineer in the automotive, energy, and semiconductor industries; quantitative analyst in finance; and data scientist or machine-learning engineer in tech.

Requirements

The requirements for the Master's programme Physics apply to this specialisation.

How to select a specialisation

You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.