Universität Stuttgart
#310
QS World University Rankings 2026
44.5
QS 2026 overall score
Ranking data
QS World University Rankings source#310
QS World University Rankings 2026
#314
QS World University Rankings 2025
44.5
QS 2026 overall score
Indicator-level data
Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.
Academic reputation
- QS 2026 score
- 33.4
- QS 2026 rank
- #364
Employer reputation
- QS 2026 score
- 46.1
- QS 2026 rank
- #291
Faculty-student ratio
- QS 2026 score
- 11
- QS 2026 rank
- #801
Citations per faculty
- QS 2026 score
- 64.2
- QS 2026 rank
- #253
International faculty ratio
- QS 2026 score
- 44.8
- QS 2026 rank
- #468
International student ratio
- QS 2026 score
- 60.9
- QS 2026 rank
- #337
International student diversity
- QS 2026 score
- 64.7
- QS 2026 rank
- #306
International research network
- QS 2026 score
- 69.7
- QS 2026 rank
- #537
Employment outcomes
- QS 2026 score
- 35.8
- QS 2026 rank
- #480
Sustainability
- QS 2026 score
- 74.2
- QS 2026 rank
- #253
About Universität Stuttgart
Technology questions sit beside social and human questions
Universität Stuttgart presents itself as a technically oriented university whose research connects engineering and natural sciences with the humanities, social sciences, management, and economics. Its public research map highlights aerospace technologies, architecture and adaptive buildings, biomedical systems and robotics for health, digital humanities and societies, production technologies, quantum technologies, and simulation science. These areas identify different kinds of research setting. A robotics question may concern a health system, a control problem, or a material component. A digital humanities question may depend on cultural evidence and computational methods. The most useful comparison keeps those research objects visible rather than merging every technical label into a single profile.
The university refers to this cross-disciplinary approach as the Stuttgart Way. In practical terms, it signals that a question may be pursued through more than one specialist field, but it does not prove that all combinations are active in the same project. Start with the academic core of the question, then look for the faculty, institute, research alliance, or project where the relevant disciplines meet. The research pages separately point toward collaborative projects, early-career research, open science, research-data management, technology transfer, and support for researchers. These are useful pieces of the setting around research, while a named research group is still needed to explain the detailed work.
MobiLab turns campus mobility into an experimental research setting
The MobiLab project gives a concrete example of how Universität Stuttgart connects mobility research with its own Vaihingen campus. The university describes MobiLab as a research and innovation laboratory for an emissions-free, car-free campus. Its visible research fields include autonomous vehicles, road concepts, and parking structures. This is more specific than a general commitment to sustainability because it identifies a real test environment and a set of technical questions. The campus is not simply a backdrop. It is a place where researchers examine new forms of electric and intelligent mobility under conditions that matter for daily movement, infrastructure, and energy use.
Public project material describes autonomous e-scooters, a driverless CampusShuttle, and a research street designed for inductive charging. The e-scooter work involves control technology, obstacle detection, balance, and navigation to another use point. The shuttle concept raises related questions about routing, stops, traffic conditions, and campus access. A research interest in mobility could therefore be narrowed in several ways: autonomous control, electrical systems, road infrastructure, campus planning, user movement, or energy transfer. The lesson from MobiLab is not that every mobility topic belongs there. It is that a well-described living laboratory makes the technical object and the context of use visible at the same time.
Build a Stuttgart comparison from a problem, discipline, and test setting
For Universität Stuttgart, begin with a problem that can be stated in concrete terms. It could involve a vehicle, a building, a manufacturing process, a medical system, a quantum device, a simulation, a digital cultural record, or a mobility network. Next, identify the research area that best fits and the institute or project that gives it a practical home. Explain the connection through a material, calculation, sensor, control system, spatial condition, or social question. This approach is more reliable than assuming that an institution-wide technical orientation describes the approach of every laboratory or group.
The final check should name what remains uncertain. A research area may indicate a suitable discipline without showing the current project; a campus laboratory may be relevant without making a particular method visible. Keeping that uncertainty makes later checking easier. Universität Stuttgart offers a public route from a wide research portfolio to structured support, collaborative projects, and concrete campus experiments such as MobiLab. Following that route closely helps a reader distinguish a real technical or social research setting from a broad institutional description.
Institution record
- Country
- Germany
- Region
- Europe
- Status
- Public
- QS size code
- L
- Profile record updated
- July 24, 2026
This date shows when this profile was refreshed. It is not a source-verification date from QS or the university.
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