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Programme profile

This programme is designed for students with a strong interest in mathematics, mathematical statistics and scientific computing. Flexibility and individual adaptation are keywords. The programme is structured in a highly flexible manner, especially designed to give students solid theoretical knowledge in mathematics at the same time as providing possibilities for each student to pursue his/her own educational profile according to interests and career aspirations. 

A variety of modules in mathematics, statistics and numerical analysis are available within the programme, together with modules from all other science areas, economy and finance, engineering as well as humanities and social sciences.

For those students interested in more applied areas there is a high degree of flexibility in choosing course combinations suitable for certain professions. For instance, courses in mathematical statistics and numerical analysis can be combined with courses in financial mathematics and economics. Another usual path is combining studies in mathematics and physics. Each direction implies a different combination of courses. Predefined recommended course chains suitable for the different directions are available and study counseling is provided throughout the entire programme.

Programme content

Programme modules
The programme consists of compulsory modules (75 credits), alternative-compulsory modules (30 credits), elective modules (60 credits) and ends with a Bachelor’s degree project (15 credits) on a topic of interest.

Compulsory modules:
The first part of the programme covers analysis in one and several variables, foundations of algebra, linear algebra, mathematical statistics and probability theory. These courses constitute the theoretical core that is fundamental to applied mathematics, statistics, mathematical physics, economics and many other areas.

Alternative compulsory modules:
After completing the compulsory course module, students are offered a wide range of courses in pure mathematics, mathematical statistics and numerical analysis. Discrete mathematics, number theory, abstract algebra, topology, ordinary differential equations, complex analysis, differential geometry are some of the main areas in pure mathematics that are available within this course module. Courses in mathematical statistics, probability theory and scientific computing provide the balance between mathematical theory and practical applications and provide training in collecting, analysing and modelling data.

Electives:
Modules can be chosen amongst more advanced courses within the mathematical sciences as well as other disciplines available across the University. At least 30 credits must be modules outside the range of mathematical sciences. Most students choose to combine their mathematical studies with physics, computer science or economics. The purpose of this is to offer the students the possibility to both deepen and broaden their knowledge according to their own objects of interest.

Progression

For students with a strong interest in pure mathematics, the programme offers a path of courses at a higher theoretical level that can be continued at Master’s and even further at PhD level.

Entry Requirements