Lund University

Overview

The Master’s programme in Computational Science and Physics at Lund University is an interdisciplinary course that merges computational techniques with physics to model, simulate, and analyze intricate physical systems. This programme equips students with advanced skills in numerical methods, scientific computing, and problem-solving grounded in research.

• Level: Master’s (MSc)
• Focus: Computational physics, scientific computing, numerical simulation, data analysis
• Duration: Typically 2 years (120 ECTS)
• Delivery: On-campus (Sweden)
• Language of instruction: English
• Application: Apply via Lund University’s online application portal

What you'll study

The curriculum is structured to progress from foundational concepts in computational science and physics to more research-intensive work. Students will engage in a mix of advanced courses, seminars, and a significant research component.

Typical course components

• Computational Methods in Physics — Focused on numerical methods and workflows for physics applications.
• Quantum Mechanics and Computational Physics — Explores computational strategies for understanding quantum systems.
• Statistical Physics and Monte Carlo Simulations — Covers stochastic simulation techniques and statistical modeling.
• Computational Solid State Physics — Involves modeling materials and condensed matter phenomena.
• Computational Astrophysics — Examines astrophysical phenomena through simulation-based studies.
• Research Methods in Computational Physics — Emphasizes research practices, reproducibility, and effective scientific communication.
• Seminar in Computational Science, Physics — Facilitates discussion and presentation of ongoing research in the field.

Research project / thesis: A significant component of the programme involves a research project or thesis, allowing students to apply computational methods to a specific physics problem under expert supervision.

Entry requirements

Applicants are required to possess a Bachelor’s degree or an equivalent qualification in physics, computational science, or a related discipline. A robust foundation in physics and mathematics, along with programming experience for scientific applications, is also expected.

Career prospects

Graduates of this programme are well-prepared for diverse career paths in academia, research institutions, and various industries. Opportunities may include roles in scientific research, data analysis, software development, and applied physics, among others. The interdisciplinary nature of the programme equips students with the skills needed to tackle complex challenges in modern science and technology.