Mathematics for Data and Resource Sciences

Mathematical skills are indispensable in today's activities of modern industrial companies. In addition, the necessary quantification, proper assessment and recording of the content of application-orientated research can only be achieved through a high and qualified use of mathematical methods. Particularly in view of climate change and in addressing the associated challenges, the processing of large amounts of data on the one hand and the understanding of technical difficulties in the provision, transport, and recycling of recyclable materials on the other are essential. Based on an excellent mathematical foundation, ideally laid in a general Bachelor's degree programme in mathematics, "Mathematics for Data and Resource Sciences" focuses on the methods and techniques needed to understand and mathematically tackle the challenges described above. The aim of the degree programme Graduates of "Mathematics for Data and Resource Sciences" have the techniques, methods, and general mathematical skills to solve today's most pressing problems. This includes understanding and utilising large amounts of data, mastering computer-aided machine learning and a thorough understanding of problems in the area of scarce resources, such as rare raw materials in particular or planet Earth in general. Job opportunities IT companies such as Google or IBM Financial industry and insurance: e.g. in data analysis Circular economy: e.g. in the optimisation of software for wastewater treatment plants, resource optimisation in industrial manufacturing processes or in materials science Corporate consulting: e.g. in data analysis Automotive industry: e.g. in the field of autonomous driving or software validation The course structure chart (figure) shows the modules by semester. Additional components and special features of the Master’s programme are: Study-related Master's thesis This degree programme offers a wide range of courses. This guarantees a very comprehensive and multi-faceted education. In order to be able to extend the diverse content to all four Master's semesters, the Master's thesis can already begin during the third semester thanks to more flexible deadlines than in most other degree programmes.   Certification for special training It is possible to obtain certification by acquiring in-depth knowledge in Mathematical Data Science or Geomathematics during the course of study. Thanks to the respective specialisation, with the first focusing on the processing and handling of (large) amounts of data and the second focusing on mathematical problems of climate change or the circular economy, graduates are ideally prepared for the demands of professional practice. PDF Download