|Degree:||Master of Science (MSc)|
|Annual tuition (EEA)||0 EUR|
|Annual tuition (non-EEA)||15,300 EUR|
Mathematics is a part of day-to-day life – from using your debit card and navigating by GPS, to making calculations in physics or chemistry or working out the pot odds in an important hand of poker.
Teaching at the university is greatly influenced by the research conducted here, as the lecturers are active researchers. When students write their MSc thesis during the final year of the programme, they have excellent opportunities to become affiliated with a group of researchers, which allows them to participate in the group’s research projects and scientific discussions. Students specialise in a subject within a broad area, including one of the three areas of mathematics in which Aarhus University is particularly strong: algebra, analysis, and geometry and topology.
As a student in the programme, you are based at the Department of Mathematics, which has its own canteen, library, and study areas shared by students. As a master’s student, you will be given your own desk in an office shared with other master’s students. The department also has a number of student organisations such as Euler’s Friends (Eulers Venner) and the Kalkulerbar (Friday bar) organising lectures on current maths topics, as well as study excursions and social functions.
Graduates from the Department of Mathematics find work across a wide range of fields and institutions including finance, communication, and the wind-power industry in the private sector. Typically, graduates work in universities and research institutions, the pharmaceutical industry, the telecommunications and finance sectors, and in insurance companies.
Graduates who pursue academic careers at universities are often involved in interdisciplinary work with doctors, biologists, or chemists, analysing large amounts of data or teaching statistics to these professional groups. In the pharmaceutical industry, graduates plan clinical trials or design methods for examining whether new drugs have unwanted side effects. In the insurance industry, graduates typically work as actuaries and may contribute to working out tariffs. Common to all these jobs is the requirement for knowledge of a number of complicated mathematical models – something the MSc in Mathematics will equip you with.
To enter the Master’s degree programme in Mathematics, you must have obtained a Bachelor’s degree in Mathematics or a similar degree. It is a requirement that the qualifying degree has a 10 ECTS programming course and contains at least 60 ECTS maths courses covering essentially all of the following topics:
Algebra: the integers, congruences, linear algebra, theory of groups, rings and fields, homomorphisms, isomorphism theorems, permutations, polynomial rings, quotient rings and field extensions
Analysis: supremum property, uniform continuity, series, multivariate differentiability, Lebesgue integration, ordinary differential equations and the residue theorem in complex analysis
Geometry: metric and topological spaces, homeomorphisms, completeness, compactness, connectivity and differential geometry: curves, surfaces, the inverse function theorem for differentiable functions of several variables, fundamental forms, curvature and geodesics
Upon admission, further requirements regarding composition of the degree programme may be stipulated.
As the Master’s programme admits only a limited number of students each year, meeting the admission requirements does not in itself guarantee admission to the programme. Student places are allocated on the basis of an overall assessment. In evaluating qualified applicants, the admissions committee assesses applicants according to the following criteria: academic background; overall grade level of bachelor’s degree; grades achieved on relevant courses; and relevant courses (measured in credit units) included in the bachelor’s degree.
Relevant courses include core courses within abstract algebra, complex analysis, differential equations, elementary differential geometry/ topology, and measure and integration.