24 monthsProgramme duration
185,000 SEKTuition Fee/year
AugStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Become an expert on mathematical methods used in computational science and how to apply them. You will learn how to generate and store large volumes of data and use data science to search for patterns, correlations, and trends in issues related to science.
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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Become an expert on mathematical methods used in computational science and how to apply them. You will learn how to generate and store large volumes of data and use data science to search for patterns, correlations, and trends in issues related to science.
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.
Admission Requirements
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.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
International
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