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QS ranking profile

Technische Universität Berlin

Germany Public

This page presents clearly labeled QS ranking data for orientation. It does not verify programs, supervisors, funding, admission requirements, or the university's website.

QS 2026 rank
#145
Up 2 places since 2025
QS 2025 rank
#147
Overall score
62.8
Verified Catalog STEM PhDs, Postdocs & Fellowships

Explore opportunities at Technische Universität Berlin

Browse active research positions, doctoral fellowships, and university funding calls indexed from official faculties and verified sources.

QS indicators

Reported ranking indicators

Each indicator is scored out of 100 in the same QS snapshot as the summary above.

Academic reputation 64.6

#156 worldwide

Employer reputation 79.4

#107 worldwide

Faculty-student ratio 70.6

#221 worldwide

Citations per faculty 34.3

#533 worldwide

International faculty ratio 64.2

#361 worldwide

International student ratio 84.5

#197 worldwide

International student diversity 85.9

#168 worldwide

International research network 89

#187 worldwide

Employment outcomes 47.6

#367 worldwide

Sustainability 68.3

#344 worldwide

Institution profile

How QS classifies this institution

QS groups institutions by size, subject range, and research output.

Size
Large
About 12,000 to 30,000 students
Subject range
Comprehensive
Teaches across all main faculty areas
Research intensity
Very high
Very high research output in the QS classification
Region
Europe
QS regional grouping

University profile

About Technische Universität Berlin

Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.

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.