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Lund University
Master Programme in Applied Computational Science, Chemistry
<p>Are you drawn to challenges in chemistry and advanced computations? This Master’s programme gives you knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. You can learn how to generate and store large amounts of data and use data science to…
- Higher education
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- 31 August 2026
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Overview
<p>Are you drawn to challenges in chemistry and advanced computations? This Master’s programme gives you knowledge in how to use numerical simulations and machine learning to make forecasts and analyses, or to replace experiments. You can 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 chemistry.</p><p>Advanced computations are increasingly important in research and business. On this Master’s programme you will learn how to study complex processes within chemistry, and how computational science can contribute to knowledge evolution in society. Some examples of angles to focus on could be environmental and climate change, climate adaptation, environmental protection and chemical risks, biodiversity or ecosystem services. In addition to theory for 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 prepares you for a future career in academia or business. The Master’s programme gives you specialised knowledge in the field of computational science, while also being interdisciplinary in character. You will take courses alongside students from other specialisations, and there will be a chance to conduct joint projects and degree projects. You will take advanced courses in chemistry in order to build on your subject knowledge from your Bachelor’s degree.</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><strong>Programme structure</strong></p> <p>At the start of the programme, you will study molecular driving forces and chemical bonding. The courses include (bio)chemical data analysis with the help of programming in Python, and also elements from quantum mechanics, statistical thermodynamics, spectroscopy and intermolecular interaction relevant to computation, as well as computer laboratory sessions. Thereafter, you will study Mathematics for Scientists 2. In the first part of the spring semester, we recommend advanced courses in statistical thermodynamics and molecular simulation, and molecular quantum chemistry. Then you go on to study biostatistics and computational programming in Python.</p> <p>During the second year, you study obligatory general courses in modelling in computational science and reproducible data analysis and statistical learning. You will also study applied courses in the modelling of chemical systems and the processing and analysis of chemical data. The last semester is reserved for the Master’s thesis.</p><p> https://www.maths.lu.se/english/education/masters-programme-in-applied-computational-science/</p>
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Entry requirements
Bachelor´s degree of at least 180 credits, including 90 credits in science of which 15 credits should be in mathematics and 45 credits should be in chemistry of which 15 credits should be in physical chemistry. Proficiency in English equivalent to English 6/B from Swedish upper-secondary school. or Bachelor´s degree of at least 180 credits, including 90 credits in science of which 15 credits should be in mathematics and 75 credits should be in physics. Proficiency in English equivalent to English 6/B from Swedish upper-secondary school.
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.natbe.18182.20262
- 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
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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.natbe.18182.20262
- Offering identity in the source
- e.uoh.lu.natbe.18182.20262
- Education-form source code
- HS
- Education code in the source
- NATBE
- Change time according to the source
- 2026-02-10T09:39:32
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.