Data Science

Data scientist, AI expert, data engineer, data analyst – you can be all of these with your degree from the Master's degree programme in Data Science. In addition, all doors are open to you in application fields of data science, such as biomedical research, the technology industry, business or other future-oriented fields. Your MSc in Data Science will prepare you to develop innovative solutions for complex problems and to work in an interdisciplinary field. During your studies, you can deepen or expand your knowledge in advanced topics of statistics and machine learning and specialise in specific areas of application. The degree programme is divided into: a compulsory area (including Master's thesis) (min. 66 ECTS [European Credit Transfer and Accumulation System]) the compulsory elective area "Machine Learning and Statistics" (min. 12 ECTS) the compulsory elective area "Specialisation" (at least 42 ECTS) Not to be missed: the compulsory area Advanced knowledge of current trends in deep learning and reinforcement learning is essential for us when studying data science. You will acquire this at the beginning of your studies in the lecture "Modern Machine Learning" with associated lab (6 ECTS). Two elective modules allow you to complete courses from computer and data science or from other subject areas according to your own interests (12 ECTS each). The compulsory area is completed by a seminar on current topics in data science (6 ECTS) and the Master's thesis module (30 ECTS). It all comes down to the core: the compulsory machine learning and statistics elective area You choose modules worth at least 12 ECTS from 11 planned modules, all of which are dedicated to central topics in data science and machine learning. Examples of modules are Statistical Machine Learning, Advanced Statistics I and II, Advanced Explainable AI, Advanced Data Engineering, Digital Image Processing – AI-based approaches, etc. Whatever you want: the specialisation elective area You can choose from four specialisations during your studies. You must choose one of these as a specialisation by completing modules amounting to at least 42 ECTS from the specialisation (according to specified regulations). You can choose between the specialisations: Machine Learning and Statistics Computational Life Sciences Human-Centred Data Science Information Systems In all specialisations, there is a compulsory elective area, so that you can also choose modules within a specialisation according to your interests. The choice of a specialisation is mandatory.