Interdisciplinary Electives
Interdisciplinary Electives enable students to gain insight into a specific application area of data science. These courses provide background knowledge and skills important for the respective area and enable graduates of the Data Science Mater’s program to bridge the gap between different academic disciplines.
Students must decide for one specific area within the Interdisciplinary Electives and attend at least two courses worth 8-12 credits within this area (see course compilations below). Students may choose courses within a course compilation at will, however, they are responsible for fulfilling respective course prerequisites. Importantly, the course selection must be approved by the mentor and made fix in the learning agreement.
DownloadComputational Biology, Bioinformatics, and Biomedicine (PDF, 96 KB)vertical_align_bottom
DownloadComputer Networks (PDF, 93 KB)vertical_align_bottom
DownloadFinance and Insurance (PDF, 100 KB)vertical_align_bottom
DownloadGeographic Information Systems (PDF, 99 KB)vertical_align_bottom
DownloadLaw, Policy, and Innovation (PDF, 94 KB)vertical_align_bottom
DownloadNeural Information Processing (PDF, 91 KB)vertical_align_bottom
DownloadRobotics (PDF, 93 KB)vertical_align_bottom
DownloadSocial Networks (PDF, 93 KB)vertical_align_bottom
DownloadTransport Planning and Systems (PDF, 90 KB)vertical_align_bottom
DownloadWeather and Climate Systems (PDF, 97 KB)vertical_align_bottom