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.
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 Department of Mathematics to jointly design an individual study concept. A possible semester abroad is offered during the second or third semester.
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