Bachelor´s degree in Physics of at least 180 credits. English course 6/English level 2 (advanced proficiency). or Bachelor’s degree of at least 180 credits in Science or Engineering. The degree must contain at least 30 credits mathematics, of which 6 credits in programming and 7.5 credits in statistics, and an additional 60 credits in mathematics and/or physics. The degree must contain at least 15 credits in a natural science (not mathematics) or in computer science. English course 6/English level 2 (advanced proficiency). Other information Some of the optional courses within the program may have higher requirements in mathematics or in other natural science subjects.
On this programme, you will learn how to study complex processes within science, and how computational science can contribute to knowledge development in society. The programme focuses specifically on the study and development of methods that are used within computational science.
You will gain knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. The vast variety of focus areas can include, for example, environment and climate change, specific design of new aviation fuel or understanding supernovas.
In addition to theoretical knowledge in computational science, there is an emphasis on the practical tools that are used by professionals in the field, including training your skills in programming. You will also get general knowledge and skills of importance for computationally intensive professions, such as problem formulation, information search, data processing, scientific writing, and presentation techniques.
You will gain experience in collaborating in groups, and the proportion of teacher-directed learning is high. The programme has strong ties to research. You will be taught by internationally well-recognised researchers, and you will be in contact with several research groups.