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Lund University
Master Programme in Mathematics
<p>Here is the opportunity to deepen your understanding of mathematical reasoning and abstract structures. You can also focus on learning how to develope new numerical methods to solve problems in areas such as robotics, medical imaging, or climate modelling.</p><p>The programme has two specialisations: mathematics…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
<p>Here is the opportunity to deepen your understanding of mathematical reasoning and abstract structures. You can also focus on learning how to develope new numerical methods to solve problems in areas such as robotics, medical imaging, or climate modelling.</p><p>The programme has two specialisations: mathematics and numerical analysis. You deepen your knowledge in various areas of theoretical mathematics or in current topics within numerical analysis and computational science with applications in natural sciences, engineering, medicine, and finance. </p><p>There is great emphasis on problem analysis and problem solving. The programme has a strong research connection. All your teachers are active researchers. As a student, you will gain close insight into our research areas. </p><p>In pure mathematics, we conduct research on differential equations, complex and harmonic analysis, operator theory, differential geometry, group theory, representation theory, and optimization. Applications include mathematical physics, mathematical description and modelling of wave phenomena, cryptography, quantum computing, signal processing and data analysis, imaging techniques, and more. </p><p>In numerical analysis and computational science, our research areas include the design and analysis of numerical methods to develop new algorithms for simulations, high-performance computing, iterative solvers for coupled problems, model reduction, uncertainty quantification, and scientific machine learning - with applications in, for example, computational physics, climate modelling, aircraft design, signal processing, and technical simulations.</p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p>
Admission scores
Entry requirements
Bachelor’s degree of at least 180 credits or the equivalent, including at least 90 credits in mathematics, or at least 60 credits in mathematics and at least 30 credits in numerical analysis and computational science. The latter alternative applies to applicants who intend to pursue a Master’s degree in mathematics, specialising in numerical analysis. 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.
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.namat.18165.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
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Previous upper-secondary schools and programmes
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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.namat.18165.20262
- Offering identity in the source
- e.uoh.lu.namat.18165.20262
- Education-form source code
- HS
- Education code in the source
- NAMAT
- Change time according to the source
- 2026-02-10T09:18:35
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.