Data Science

The term "data science" describes a field of increasing importance involving the extraction of information from very large and unstructured data. Its applications include but are not limited to the following: in economics for using customer data to anticipate behaviour or predict market share or product life cycles in engineering, a field in which autonomous driving and image processing are of increasing importance in the humanities, a field in which translation and natural language processing have shown promising results and created new exciting fields such as digital humanities in social network analysis in medicine for cures that are designed for all kinds of diseases and treatments for modelling infectious diseases urban modelling The availability of cheap computing power and the exponential increase in available data have fuelled the design of new algorithms within data science and machine learning that heavily rely on elegant mathematics and sophisticated computer science methodology. The need for well-educated data scientists is clear. Our students work with many well-known companies throughout Germany and industrial cooperation is already a big part of the degree through jobs, seminars and thesis work. The programme has several introductory courses such as the following: Introduction to Data Science Machine Learning Data Modelling seminar with industrial partners (Companies include Porsche, Siemens, and more.) These courses are complemented with courses such as the following: Foundations of Big Data Analytics Matrix Methods in Data Science Optimisation for Machine Learning Statistical Data Science Deep Reinforcement Learning Additional courses from mathematics and computer science are also possible as well as lectures from economics and electrical engineering, which allow for seeing the data science algorithms within applications.