24 monthsProgramme duration
185,000 SEKTuition Fee/year
AugStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Master's
Study Mode
On Campus
Are you passionate about both biology and advanced computations? This programme will teach you how to generate and store large volumes of data and use data science to search for patterns, correlations, and trends in issues related to biology.
You will learn how to study complex processes within biology, and how computational science can contribute to knowledge development in society. Some examples of focus areas are biodiversity, ecosystem services, environmental protection, chemical risks, environmental and climate change, and climate adaptation.
You will gain knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. The programme gives you specialised skills in the field of computational science, while also being interdisciplinary in character.
In addition to theory for computational science, there will be 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.
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. The programme is offered in English.
Programme overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Master's
Study Mode
On Campus
Are you passionate about both biology and advanced computations? This programme will teach you how to generate and store large volumes of data and use data science to search for patterns, correlations, and trends in issues related to biology.
You will learn how to study complex processes within biology, and how computational science can contribute to knowledge development in society. Some examples of focus areas are biodiversity, ecosystem services, environmental protection, chemical risks, environmental and climate change, and climate adaptation.
You will gain knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. The programme gives you specialised skills in the field of computational science, while also being interdisciplinary in character.
In addition to theory for computational science, there will be 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.
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. The programme is offered in English.
Admission Requirements
Bachelor´s degree of at least 180 credits, including 90 credits in science of which 15 credits must be in mathematics, 7.5 credits in statistics, 60 credits in biology including cell biology, and genetics and/or ecology. English course 6/English level 2 (advanced proficiency).
- 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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