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Lund University
Master Programme in Computational Science, Geoscience
<p>Do you want to become an expert on advanced computations and large volumes of data within geoscience? This Master’s programme gives you specialist knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. You will learn how to generate and store…
- Higher education
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- 31 August 2026
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Overview
<p>Do you want to become an expert on advanced computations and large volumes of data within geoscience? This Master’s programme gives you specialist knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. You will learn how to generate and store large amounts of data and use data science to search for patterns, connections, and trends in issues related to geoscience.</p><p>Advanced computations are increasingly important in research and business. In this Master’s programme you will learn how to study complex processes within geoscience, and how computational science can contribute to knowledge evolution in society. A few of many examples are studies in, and research on, environment and climate change, global environmental issues and global cycles. In addition to theoretical knowledge in computational science, there will be an emphasis on obtaining knowledge about the practical tools that are used by professionals in the field, including training your skills in programming.</p> <p>The programme will prepare you for a professional career in academia as well as in business and industry. The Master’s programme gives you specialised knowledge within computational science, while also being interdisciplinary in character. Participating students have a background in maths/physics and an interest in mathematics and programming, but you will take courses alongside students from other specialisations. In this context, there will be a chance to conduct joint projects and degree projects.</p> <p>You will get general knowledge and skills of importance for computationally intensive professions, such as problem formulation, searching for information, data processing, scientific writing, and presentation techniques. The programme has strong ties with research. You will be taught by internationally well-recognised researchers, and you will be in contact with several research groups. The programme is taught in English.</p> <p> </p> <p><strong>Programme structure</strong></p> <p>The programme contains a mix 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.</p> <p>In the first semester, you will study four compulsory courses: modelling in computational science, numerical methods for differential equations, numerical algorithms with Python/SciPy as well as modelling climate systems. Thereafter, you can choose courses such as spatial statistics with image analysis, global environmental change from a geological perspective, and many more. You can also choose from a selection of courses focusing on different processes in geoscience. The degree project is worth 30 credits.</p> <p> </p> <p><strong>Career opportunities</strong></p> <p>Graduates of the programme can embark on several different career paths. The Master’s programme gives you a solid foundation for third-cycle education in the natural sciences, or a career within industry or business. You can thus also choose a career path outside academia and then find attractive jobs in areas where there is a need to solve natural science problems with the help of statistics, data processing or simulations, in industry or in public administration and other organisations.</p><p>https://maths.lu.se/english/education/masters-programme-in-computational-science/</p>
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Entry requirements
Bachelor´s degree in Physics of at least 180 credits. The degree must contain at least 15 credits in geoscience. English course 6 (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 (advanced proficiency)
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
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- Skolverket Susa-navet
- Period
- 2026-08-31
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- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
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- Education offering e.uoh.lu.naber.18171.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
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- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
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- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.naber.18171.20262
- Offering identity in the source
- e.uoh.lu.naber.18171.20262
- Education-form source code
- HS
- Education code in the source
- NABER
- Change time according to the source
- 2026-02-10T09:07:21
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.