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Lund University
Applied Computational Science - Environmental Science: Master's Degree Project
<p>The degree project is compulsory for obtaining a Degree of Master of Science in Applied Computational science with specialisation in Environmental science and it is given at full study pace during the last semester of the programme.</p><p>The degree project requires a literature review and special studies. In add…
- Higher education
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- 31 August 2026
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Overview
<p>The degree project is compulsory for obtaining a Degree of Master of Science in Applied Computational science with specialisation in Environmental science and it is given at full study pace during the last semester of the programme.</p><p>The degree project requires a literature review and special studies. In addition, it includes a number of compulsory elements, in the form of lessons and seminars, which deal with, among other things, scientific writing in English and Swedish, popular science writing, academic conduct and the use of library resources. The content and execution of the degree project are planned in consultation with a supervisor. The degree project consists of an independent smaller research or development assignment that can either relate to current projects at the department or to problems within the subject area at companies or other institutions within or outside the university. If the work is carried out outside the department, there should also be a supervisor at the department.</p><p>https://www.maths.lu.se/english/education/masters-programme-in-applied-computational-science/</p>
Admission scores
Entry requirements
Admission to the course requires courses corresponding to MATA04 Mathematics for Scientists 2, 15 credits, NUMA01 Computational Programming in Python, 7.5 credits, BERN01 Modelling in Computational Science, 7.5 credits, and BERN02 Reproducible Data Science and Statistical Learning, 7.5 credits. Furthermore, 15 credits in Environmental Science at the advanced level are required, as well as knowledge corresponding to English 6/B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.berm07.13056.20262
- Last checked
- 2026-09-23T10:38:26.989764+00:00
- Limitation
- 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.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.berm07.13056.20262
- Offering identity in the source
- e.uoh.lu.berm07.13056.20262
- Education-form source code
- HS
- Education code in the source
- BERM07
- Change time according to the source
- 2026-02-03T10:57:49
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.