Applied mathematics and statistics are fundamental tools that are used in the most diverse areas of scientific work and everyday business. For example, numerical and simulation methods form the basis of scientific computing, statistical and machine learning are an essential part of the subject complex of artificial intelligence, and mathematically-methodologically based, statistical data analysis is the key to sound research results.
The mathematics/statistics competence of TH Rosenheim is centrally organised in the Faculty of Applied Sciences and Humanities. Mathematicians with different areas of specialisation and research focus are located in the faculty and participate in research and transfer projects in many fields, such as building technology, simulation models in engineering, building physics, statistical/machine learning or risk modelling in insurance and finance.
In the Bachelor's programme Business Mathematics – Actuarial Sciences, students are trained specifically for the mathematical requirements and tasks in the insurance environment in close cooperation with the German Actuarial Association (DAV) and leading companies from the insurance and reinsurance industry. Central contents include statistical (risk) modelling, data science and actuarial science. Together with companies we cover current issues through theses and other cooperations.
In the field of applied mathematics and statistics, the modification, adaptation and computer-based implementation of mathematical and statistical methods for data-based modelling, simulation and stochastic modelling of real processes are dealt with.
Interested parties can find a current paper and an overview of current publications here. Your contact person for the area of business mathematics-actuarial sciences is Prof. Dr. Ulrich Wellisch.