Mathematics in Data Science

Data-driven technologies open up a wide range of ground-breaking developments and applications – from machine learning to autonomous vehicles, smart grids, or innovative medical diagnostics. Students of the Master’s degree program Mathematics in Data Science (M.Sc.), predominantly taught in English, learn to understand, develop, and apply technologies for collecting, storing, evaluating, and securing large amounts of data. The program focuses on methods and algorithms from statistics, machine learning, optimization, and data representation theory and familiarizes students with specific data analysis techniques. They acquire an in-depth understanding of mathematical methods for modeling and analyzing very large amounts of data and for calculating, simulating, and predicting complex phenomena, for example, in customer behavior, economic development, or medical diagnostics and therapy. They learn to develop mathematical analysis models and complex prediction models. In doing so, they deal intensively with the technical and methodological foundations of data storage and backup and critically reflect on the social and ethical implications of developing and applying data-driven technologies. Graduates of the program are experts in evaluating and utilizing large amounts of data on the basis of complex mathematical models. They are able to evaluate and develop methods for data preparation and data analysis and use them in accordance with requirements. They are thus excellently qualified for further work in academic research as well as for leading positions in tech companies. For a comprehensive description of the program, please refer to the degree program documentation: Degree program documentation for the master's program in Mathematics in Data Science (PDF, German) Program structure This program places an emphasis on methods and algorithms from statistics, machine learning, optimization, and the theory of data representation. The focus lies in the theoretical and practical aspects of data engineering, data analysis, machine learning, and data science. In addition, students are to attend interdisciplinary courses such basic law classes, and also lectures on the social and political implications of “Big Data” and Artificial Intelligence. Language of instruction Required language skills for admission: You need sufficient English language skills if you wish to apply for this program. Evidence of your language proficiency has to be submitted before the end of the application deadline. Learn more about recognized certificates and other ways to prove your English language skills. This evidence of your language proficiency confirms that you comply with the minimum language requirements for admission to the program. Depending on the program and your individual background, it may be necessary for you to keep working on your language skills during your studies. Be sure to take a look at the services of our Language Center. Language of instruction: The language of instruction for this program is English. Information on study organization Information on exams Information on studying abroad Information on internships Fees for the program The tuition fees for international students from third countries for this degree program are 6,000 euros per semester . Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here. Please note: The semester fee as a contribution to the student union must be paid additionally. It varies depending on where you are studying. You can find all information on the semester fee here. Academic Regulations:

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