MSc Mathematics at University of Bremen

In the course of globalization, mathematicians are in demand not only nationally but also internationally, not only in science but also in almost all areas of the job market, such as data science, climate modeling, finance and insurance, or software development. This English-language program prepares you well for future requirements in academia and in the global job market as it is designed to be flexible and students can choose between two options : a theory-oriented program, where students deal with mathematical topics at the cutting edge of research within a special format, the reading courses , and an application-oriented variant, in which students study in addition a second subject, such as biology, chemistry, electrical engineering, geosciences, computer science, philosophy, physics, production engineering, or economics. For information on Application & Admission visit unihb.eu/mathapp , and for a short overview of the program, see here: Flyer MSc.

Duration: 4 semesters (2 years)  |  Study mode: full-time; English-taught  |  Intake: Winter semester and summer semester  |  Location: Bremen, Bremen, Germany

What you will study

Building upon the broad skills learned in a Bachelor's program in mathematics or in a related one, this Master's program offers the opportunity to study entirely according to individual and personal interests, and therefore select from two different ways: In the theory-oriented way, students deal with mathematical topics at the cutting edge of research within the framework of the special teaching format of reading courses, among other things. In the application-oriented way, students study a second subject in addition to mathematics, such as biology, chemistry, electrical engineering, geosciences, computer science, philosophy, physics, production engineering, or economics.

Career pathways

Mathematicians are in demand not only nationally but also internationally, not only in science but also in almost all areas of the job market, such as handling, analyzing and evaluating large amounts of data, creating and interpreting complex climate models, prototype design in industry, finance and insurance, software development, management consulting, data security as well as medicine or digital communication. In short, wherever analytical thinking at the highest level is required, independent of specific technical knowledge.

Official programme page