Industrial Mathematics (M.Sc.)
The master’s degree program in Industrial Mathematics offers the ideal platform for combining logical thinking with numbers to master complex challenges. Students can choose from a wide range of electives such as game theory, business informatics or econometrics to expand their knowledge and develop innovative solutions.
Fact Sheet
- Degree
- Master of Science
- Admission
- Qualification assessment
- Duration of studies
- 4 semesters
- Teaching language
- completely in German
- Faculty
- Faculty of Sciences
- Start of degree program
- Summer semester, Winter semester
- Number of students
- 1-50
Program overview
What is the degree program about?
In the master’s degree program, you will acquire competencies necessary for independent and autonomous scientific work within two years. The master’s degree program is broadly based both thematically and methodologically and offers the opportunity to deepen individual focal points of interest. The range of courses offered in the Master of Industrial Mathematics reflects the research spectrum of the Departments of Data Science and Mathematics as well as the Department of Business and Economics.
Research topics of particular interest to the program include Stochastic Processes, Probability Theory, Robust Optimization, Equilibrium Problems, Mixed-Integer Linear/Nonlinear Optimization, Optimization with Partial Differential Equations, Machine Learning, Artificial Intelligence, and Data Analytics.
At the beginning of the master’s degree program, each student chooses a mentor from the faculty of the Departments of Data Science and Mathematics to jointly design an individual study concept. A possible semester abroad is offered during the second or third semester.
- 1st-3rd semester: Study of the chosen field of study. According to a study plan agreed upon with the mentor, you will attend courses (incl. seminar) in your chosen field of study, in mathematical elective modules (which are attributable to the non-chosen field of study) and in economics (here two focal points are recommended, e.g. business informatics, econometrics, game theory, logistics, production, …).
- 4th semester: Master Thesis. In a period of six month you will work on your own scientific project and write a thesis about it.
One of the following fields of study can be chosen:
- Optimization and Process Management
- Stochastics and Risk Management
Industrial mathematicians later work in their profession in:Business mathematicians later work in their profession in:
- Finance & Insurance
- Software Development, Mobile Communications & Telecommunications
- Automotive Industry
- Marine /Aerospace
- Data Science & Analytics
- Statistics
- Consulting
- Medical Technology
- Energy Industry
- Pharmaceutical Industry
- Transportation & Logistics
- Banking/Insurance Industry
and everywhere where processes or structures are to be optimized, predicted and evaluated.
Application for a Degree Program
Admission Requirements and Application
Admission
- Master: Qualification assessment
Application deadline
- Winter semester: 15.07.
- Summer semester: 15.01.
Language skills
- Students whose native language is not German must demonstrate sufficient language skills and be able to conduct discussions with mathematical content in German.
Content related master requirements
Prerequisites for the master’s degree program in Industrial Mathematics are a successfully completed bachelor’s degree in Business Mathematics, Technomathematics, Mathematics or Data Science or a closely related subject. In particular, a bachelor’s degree in a degree program in economics (such as business administration, economics or variants thereof) is recognized as a closely related degree. However, applicants with a related degree can only be admitted to the master’s degree program on the basis of a passed entrance examination.
For related degrees, a mathematical study portion of at least 45 ECTS is required.
