Technische Universität Berlin
#145
QS World University Rankings 2026
62.8
QS 2026 overall score
Ranking data
QS World University Rankings source#145
QS World University Rankings 2026
#147
QS World University Rankings 2025
62.8
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
- 64.6
- QS 2026 rank
- #156
Employer reputation
- QS 2026 score
- 79.4
- QS 2026 rank
- #107
Faculty-student ratio
- QS 2026 score
- 70.6
- QS 2026 rank
- #221
Citations per faculty
- QS 2026 score
- 34.3
- QS 2026 rank
- #533
International faculty ratio
- QS 2026 score
- 64.2
- QS 2026 rank
- #361
International student ratio
- QS 2026 score
- 84.5
- QS 2026 rank
- #197
International student diversity
- QS 2026 score
- 85.9
- QS 2026 rank
- #168
International research network
- QS 2026 score
- 89
- QS 2026 rank
- #187
Employment outcomes
- QS 2026 score
- 47.6
- QS 2026 rank
- #367
Sustainability
- QS 2026 score
- 68.3
- QS 2026 rank
- #344
About Technische Universität Berlin
TU Berlin research stories connect technical work with specific systems and settings
Technische Universität Berlin presents current research through concrete questions as well as university-wide topics such as knowledge exchange, entrepreneurship, climate protection, and international activity. Its research stories include work on microcapsules used to protect and release ingredients, measurement of daylight through a rooftop installation, protein interactions, and ecological research at Lake Stechlin. These examples are more useful than a broad list of disciplines because they name a system, material, instrument, or environment. They should still be read as leads. A story may describe one team or one result, while the closest department or laboratory page is needed to show the current research setting, methods, and people.
The source material also describes research that questions assumptions around sustainability, building culture, and the economic, social, and scientific effects of machine learning. This shows that technical work at TU Berlin can be linked with urban, social, and environmental questions. It does not mean every technical department works at those intersections. A research comparison should identify the object first. It might be a packaging material, measurement system, water environment, biological structure, urban condition, or machine-learning application. Then find the local group that explains how the object is studied. The method, evidence, and academic home matter more than the presence of a familiar public theme.
Knowledge exchange and the Berlin University Alliance provide context around local work
TU Berlin's public home page describes knowledge exchange with society and industry, entrepreneurial activity, and its relationship with the Berlin University Alliance. These are useful signals of a university environment where research can be connected with other institutions, public life, and external organisations. They are not a substitute for research-group evidence. A partnership at alliance level may not be relevant to a particular laboratory, and a knowledge-exchange story may not describe the research design of a current project. Use this material to understand the larger setting, then look for the unit that shows how a particular collaboration or public issue enters the actual work.
The research stories about laboratories also make an important point: an instrument or setting only becomes meaningful when it is connected with a research question. A daylight measurement installation can support work very different from a study of protein interactions. Lake-based field research can involve different evidence from microcapsule work. When a facility appears relevant, ask which group uses it, what object it helps investigate, and what method it supports. This makes a comparison more practical. Rather than saying that a university has interesting laboratories, the note can explain why one research environment is connected to the problem you want to study.
Write a TU Berlin comparison around a local research practice
A focused TU Berlin note should contain a research object, a local academic setting, visible evidence of current work, and a boundary. The object might be a material, a daylight condition, a protein system, a lake environment, a building question, or an algorithmic application. The local setting may be a department, laboratory, chair, centre, or project. The evidence should explain the approach, whether it is laboratory measurement, field observation, computational analysis, design research, or another practice. The boundary should name what is not yet known from central pages. This structure ties a technical topic to a specific research practice rather than a broad institutional label.
Recheck the local pages when comparing possibilities over time. A research story may remain online after a project changes, and a public topic portal may cover much more than one group's current work. The central TU Berlin material is valuable for finding themes and routes into the university. It becomes most useful when paired with current evidence from the academic setting that carries the research. That discipline of checking prevents a general claim about technology, sustainability, or collaboration from substituting for a clear account of the problem, method, and researchers most closely connected with it.
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.
Search opportunitiesOpportunity records may use a different form of the institution's name. Confirm every listing with its original source.