This Master's programme will equip you with expertise in mathematical methods used in computational science and their practical applications. You will learn how to manage and analyze large datasets, identifying patterns, correlations, and trends relevant to scientific challenges. The program focuses on understanding complex scientific processes and how computational science contributes to societal knowledge development. You'll gain skills in using numerical simulations and machine learning for predictions, analyses, and to supplement experimental work. Potential areas of study include climate change, aerospace engineering, and astrophysics. Beyond theoretical knowledge, the program emphasizes practical tools and programming skills essential for computational scientists. You will also develop crucial soft skills such as problem formulation, information retrieval, data processing, scientific writing, and presentation techniques. The curriculum encourages group collaboration and provides high-quality teacher-led instruction, with strong connections to ongoing research, allowing you to learn from and interact with internationally recognized researchers and research groups.
The programme integrates mathematics, numerical analysis, and mathematical statistics, combining numerical methods for differential equations with statistical modeling and computational science techniques. The first year includes compulsory courses: Modelling in Computational Science, Monte Carlo Methods for Statistical Inference, Stationary Stochastic Processes, and Numerical Methods for Differential Equations. Subsequent courses may include Artificial Neural Networks, Simulation Tools, Statistical Modelling of Extreme Values, and Numerical Algorithms with Python/SciPy. Students can also select courses focused on various scientific processes. The final semester is dedicated to a thesis project.
Graduates are well-prepared for careers in research and industry, as advanced computational methods are increasingly vital. The programme provides a strong foundation for doctoral studies or for roles in industry and public administration where scientific problem-solving using statistics, data processing, or simulations is required.
Selection is based on academic grades in science, technology, and mathematics, as well as a statement of purpose outlining the applicant's goals for the program. Applicants need access to a computer for software installation (e.g., Python, Matlab). Some courses may require independent and safe work in laboratory or other environments, adhering to safety regulations.
Non-EU/EEA citizens are required to pay tuition fees. An application fee may also apply. Tuition is paid in installments.
Non-EU/EEA citizens are required to pay SEK 370,000 per year in tuition fees. EU/EEA and Swiss citizens do not pay tuition fees. An application fee may also apply.
The Master's programme is two years in duration and awards 120 ECTS credits.
You need a Bachelor's degree in Physics (180 credits) or a degree in Science or Engineering with specific credits in mathematics, programming, and statistics. English proficiency equivalent to IELTS 6.5 (no section below 5.5) or TOEFL 90 is also required.
The language of instruction for this programme is English.
Applications are submitted online through the University Admissions in Sweden portal. Ensure you meet all academic and English language requirements and submit necessary documents by the deadline, typically January 15 for non-EU/EEA citizens.
Graduates are well-prepared for roles such as Researcher, Data Scientist, Computational Scientist, Analyst, or Software Developer in scientific computing, research, industry, and public administration.