The University of Stuttgart is a research-intensive university with an interdisciplinary profile and a particular focus on the natural and engineering sciences. It offers a broad range of courses in the engineering sciences, natural sciences, mathematics, languages and cultural sciences, as well as in economics and social sciences. The University of Stuttgart works in close cooperation with Baden-Württemberg universities, including the Universities of Hohenheim, Ulm and Tübingen, as well as with highly renowned research institutions such as the Max Planck and Fraunhofer Societies, the German Aerospace Centre and with numerous other research institutions and industrial companies.
The core competence of the University of Stuttgart is the interdisciplinary integration of its research activities. This is confirmed by the University’s leading position in many areas: it has a cluster of excellence and a graduate school that receive funding through the German government’s Excellence Initiative, collaborative research centres, priority programmes and research training schools as well as integrated and international courses of study.
The research activities of the University of Stuttgart are focused on the following eight interdisciplinary priorities:
The overall vision behind all the research activities is the comprehensive exploration of the entire product development and product life cycle.
The "Simulation Technology" cluster of excellence and the "Graduate School for Advanced Manufacturing Engineering" at the University of Stuttgart receive funding through the German government’s Excellence Initiative.
The Carl Zeiss Foundation supports a project to research chitin as a basis for smart materials Chitin is the main component of the exoskeletons of insects, spiders, and…
Scientists of the Micro, Nano and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems and the Institute of Physical Chemistry at the University of Stuttgart…
An algorithm from the University of Stuttgart determines when social distancing is necessary and to what extent.
Mathematical Decision Support that calculates which method is most effective in identifying all Covid-19 patients in a positive sample pool With the help of so-called pooling…