24 monthsProgramme duration
185,000 SEKTuition Fee/year
Programme overview
Main Subject
Geology
Degree
Other
Study Level
Master's
Study Mode
On Campus
Here you can become an expert on advanced computations and data management within geoscience. As a Master´s student, you will learn how to generate and store large amounts of data and use data science to search for patterns, correlations, and trends in issues related to geoscience.
On this programme, you will learn how to study complex processes within geoscience, and how computational science can contribute to knowledge development in society. You will gain knowledge in the use of numerical simulations and machine learning to make forecasts and analyses, or to replace experiments.
The programme contains a mixture of courses in geoscience, mathematics and computational science. You will study computational methods within data science, Monte Carlo simulations and solutions to differential equations. You will also get insight into the interplay between numerical computational methods and the underlying physical phenomena and models that are studied.
Examples of focus areas are environment and climate change, global environmental issues and global elemental cycles. In addition to theoretical knowledge in 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 acquire general knowledge and skills of importance for computationally intensive professions, such as problem formulation, information search, data processing, scientific writing, and presentation techniques.
Programme overview
Main Subject
Geology
Degree
Other
Study Level
Master's
Study Mode
On Campus
Here you can become an expert on advanced computations and data management within geoscience. As a Master´s student, you will learn how to generate and store large amounts of data and use data science to search for patterns, correlations, and trends in issues related to geoscience.
On this programme, you will learn how to study complex processes within geoscience, and how computational science can contribute to knowledge development in society. You will gain knowledge in the use of numerical simulations and machine learning to make forecasts and analyses, or to replace experiments.
The programme contains a mixture of courses in geoscience, mathematics and computational science. You will study computational methods within data science, Monte Carlo simulations and solutions to differential equations. You will also get insight into the interplay between numerical computational methods and the underlying physical phenomena and models that are studied.
Examples of focus areas are environment and climate change, global environmental issues and global elemental cycles. In addition to theoretical knowledge in 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 acquire general knowledge and skills of importance for computationally intensive professions, such as problem formulation, information search, data processing, scientific writing, and presentation techniques.
Admission Requirements
Bachelor´s degree in Physics of at least 180 credits. The degree must contain at least 15 credits in geoscience. 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 geoscience. 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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