Mathematics for Data and Resource Sciences

["Mathematical skills are indispensable for the activities of modern industrial enterprises. In addition, the necessary quantification, professional assessment and documentation of the findings of application-oriented research can only be carried out with the advanced and qualified use of mathematical methods. The current issue of climate change and the challenges associated with it make the management of large data volumes an essential skill, while an understanding of the technical difficulties involved in the provision, transportation and recycling of valuable waste materials and by-products has become invaluable for companies today. Based on a top-class mathematical foundation – ideally laid upon the groundwork of a Bachelor's degree in mathematics – the Mathematics for Data and Resource Sciences programme focuses on the methods and techniques necessary to understand and mathematically address the challenges described above.", "Successful graduates of the Master's programme Mathematics for Data and Resource Sciences will have acquired the techniques, methods and general mathematical skills to solve the most pressing problems of today. These include the ability to understand and exploit large amounts of data, a mastery of scientific machine learning as well as a broad understanding of problems in the field of scarce resources – such as rare earth metals in particular, or planet Earth in general.", "Mathematical problems from real-world applications are discussed in a lecture series created specifically for the Master’s programme. This series provides a catalogue of relevant problem statements at an early stage so that students can apply the skills they have learned in a meaningful way. The clusters of complex issues presented go straight to the heart of the individual research areas and are constantly updated to gain the deepest insight into mathematical problems.", "The Master’s programme rewards student commitment to companies based in the region. If an industrial internship of at least four months duration is completed during the degree programme, this time can be recognised in credits that count towards the completion of the Master's thesis: The maximum time required for completing the thesis is reduced from nine months to six, and the content required is also reduced accordingly. This measure is intended to benefit the local economy in the form of expedited graduation and the precise skills acquired by the students. Meanwhile, the students themselves gain by taking their first steps towards permanent employment in the region.", "Within the Master's programme, it is possible to obtain extra certification if in-depth knowledge in Mathematical Data Science or Geomathematics is acquired during the degree programme. By means of their respective specialisations – whereby the former focuses more on the processing and treatment of (large) data volumes, and the latter more on the mathematical tools associated with the study of climate change or geosciences in general – graduates are eminently prepared for the real-world requirements of professional practice."]