Mathematics and Business Mathematics

Short Profile

degree
Master of Science

admission restriction
none | individual acceptance

standard length of study
4 semester

study start
April 1 or october 1

teaching language
German

credit points
120

admission requirements
Bachelor's degree in a similar field

application
possible throughout the year

Description

This master program is designed consecutive and based on the Mathematics bachelor program. Also graduates from a bachelor teaching degree in Mathematics or from other bachelor studies with a minimum duration of six semesters of a different field, but with sufficient mathematical education, can take these courses.

The master program Mathematics and Business Mathematics can be completed in both majors:

In the main module, Applied Mathematics is mainly focused on mathematical-scientific research in high-tech companies and in other fields, such as Medicine, Biology and Economics.

With this in mind, students acquire a profound knowledge in functional analysis, theory and numerics of partial differential equations and according to the chosen specialisation, e. g. courses in control and optimisation, chip design or coding theory and in scientific calculation.

In the main modules Business Mathematics, in addition to a profound education in stochastic and fundamentals of analysis and optimisation, students are introduced in modern methods of risk management, evaluation of financial derivatives and stochastic optimisation.

Thus, graduates are well prepared for a business job, especially in innovative fields of the financial economy and in management. In addition, the master degree is a profound basis for further qualification leading to a doctorate degree. This is required for a university career.

Fields of study

29 %
Obligatory and optional courses according to chosen specialisation (e.g. discrete mathematics, analysis and system theory, numeric analysis, optimization, stochastics)
8 %
Stochastic processes and functional analysis
17 %
Mathematical optional courses (e.g. complex analysis, cryptography, number theory, topology, mathematical logic)
9 %
Computer science (e.g. computer algebra, telematics, data bank systems, software engineering)
12 %
Technical or economical application module (optional course) (e.g. electrical engineering, information technology, mechanical engineering, technical computer science, physics, biomedical engineering | controlling, business finance)
25 %
Master thesis

Majors

  • Applied mathematics

  • Business Mathematics

Fields of work

  • High technology and economics research

  • Financial sectors, e.g. in banking or insurance companies

  • Management

  • Computer Science

  • Biotechnology and medical research

Further information