Graduate School "Data Science + X"

Graduierte und Hochschullehrer
Graduated and professors f. l. t. r.: Felix Kunde, Agathe Merceron, Kristian Hildebrand, Stephan Pieper, Petra Sauer, Petra Sauer, Felix Gers, Torsten Kilias, Alexander Löser, Stefan Edlich, Sebastian Arnold and Eduard Bergen

The graduate school "Data Science+x" promotes the qualification of PhD Students in thematically focused research projects.

 In a structured qualification concept, PhD students are given the opportunity to hold several meetings a month with the supervisors at the Beuth University and external reviewers. In addition, all employees meet with all supervisors in a joint colloquium several times a year.

The interdisciplinary work focusses on data science problems in conjunction with problems from the  medical domain. In addition, students also work on the interplay of data science with social science, geographic or engineering disciplines. The funding comes from from the programs of BMWi, BMBF or EU H2020. The aim of the graduate school is to prepare the doctoral candidates intensively for the complex job market "Data Science + Specialist Domain" and at the same time to support their early scientific independence.