ETH Zurich (Swiss Federal Institute of Technology)
#7
QS World University Rankings 2026
96.7
QS 2026 overall score
Ranking data
QS World University Rankings source#7
QS World University Rankings 2026
#7
QS World University Rankings 2025
96.7
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
- 99.7
- QS 2026 rank
- #18
Employer reputation
- QS 2026 score
- 96.3
- QS 2026 rank
- #42
Faculty-student ratio
- QS 2026 score
- 71.7
- QS 2026 rank
- #214
Citations per faculty
- QS 2026 score
- 98.8
- QS 2026 rank
- #40
International faculty ratio
- QS 2026 score
- 100
- QS 2026 rank
- #28
International student ratio
- QS 2026 score
- 99.3
- QS 2026 rank
- #58
International student diversity
- QS 2026 score
- 73.9
- QS 2026 rank
- #241
International research network
- QS 2026 score
- 95.8
- QS 2026 rank
- #64
Employment outcomes
- QS 2026 score
- 95
- QS 2026 rank
- #76
Sustainability
- QS 2026 score
- 99.6
- QS 2026 rank
- #2
About ETH Zurich (Swiss Federal Institute of Technology)
Departments offer a detailed starting map
ETH Zurich lists departments across architecture; civil, environmental and geomatic engineering; biosystems science and engineering; computer science; information technology and electrical engineering; materials; mechanical and process engineering; biology; chemistry and applied biosciences; mathematics; physics; earth and planetary sciences; health sciences and technology; environmental systems science; management, technology and economics; and humanities, social and political sciences. This range is useful as an index rather than as proof that a broad topic has one home. A question about climate modelling, for example, might have a different academic base from a question about environmental governance, even when both use similar language. Begin by naming the core problem, then identify the department whose disciplinary tools are closest to it.
Department names give the first layer of orientation, but they are not the whole research picture. A technical question may draw on a second field, a shared facility, or an initiative that brings groups together. Read the relevant departmental material alongside the pages of laboratories, centres, and people working nearest to the subject. Notice whether the visible work is experimental, computational, design-led, theoretical, or mixed. That comparison helps separate a real methodological connection from a loose association created by a familiar keyword. It also makes later conversations and personal planning more specific, because the research setting is defined before the institution is treated as a single undifferentiated option.
Research services connect work across the institution
ETH Zurich's research material makes several shared layers visible: competence centres, cross-cutting initiatives, infrastructure, data management, publication services, scientific IT, and guidance connected with research ethics and scientific integrity. These are signs of an institutional framework around research, not a description of the day-to-day practice in every laboratory. Their practical value is that they show what to investigate next. If a project depends on complex data, specialised computing, human participants, or a particular experimental environment, the central structure can point toward the local unit where those questions become concrete.
The same pages make room for work that connects science with society, industry, and public questions. That breadth should be read carefully. It can explain why some research crosses disciplinary boundaries, but it does not establish the scope of a particular group or project. Look instead for a recent project page, a laboratory description, or a researcher profile that states the object of study and the approach. Write down the evidence in plain terms: the scientific question, the method, the relevant department, and the resource or collaboration that matters. This creates a useful record without filling gaps with assumptions about an entire institution.
Turn an ETH Zurich interest into a focused comparison
A strong ETH Zurich comparison begins with a narrow question that can be recognised in public research material. It may concern a model, a material, a biological system, a design challenge, a dataset, or a policy problem with a technical dimension. Match that question to one department and then seek two pieces of local evidence, such as a laboratory's current work and a researcher whose methods relate to your own preparation. If the link rests only on a broad field label such as AI, energy, or health, keep the note provisional until a clearer academic link appears.
Use the university-wide structure to understand where disciplines meet, while allowing the closest research pages to carry the most weight. A careful note can state what is confirmed, what remains uncertain, and what information needs a fresh check. That discipline is especially important in a large institution with many possible routes through related subjects. It keeps attention on the fit between a real research environment and the work you want to develop, rather than on a general impression created by scale or reputation. Revisit the note when a department, laboratory, or researcher publishes more current material.
Institution record
- Country
- Switzerland
- 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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