University of Trento
#485
QS World University Rankings 2026
32.9
QS 2026 overall score
Ranking data
QS World University Rankings source#485
QS World University Rankings 2026
#506
QS World University Rankings 2025
32.9
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
- 34.8
- QS 2026 rank
- #346
Employer reputation
- QS 2026 score
- 18.6
- QS 2026 rank
- #693
Faculty-student ratio
- QS 2026 score
- 32.9
- QS 2026 rank
- #589
Citations per faculty
- QS 2026 score
- 40
- QS 2026 rank
- #470
International faculty ratio
- QS 2026 score
- 32.3
- QS 2026 rank
- #560
International student ratio
- QS 2026 score
- 11.3
- QS 2026 rank
- #801
International student diversity
- QS 2026 score
- 17.2
- QS 2026 rank
- #801
International research network
- QS 2026 score
- 85.6
- QS 2026 rank
- #244
Employment outcomes
- QS 2026 score
- 7.1
- QS 2026 rank
- #801
Sustainability
- QS 2026 score
- 51.8
- QS 2026 rank
- #665
About University of Trento
Current research stories show a university working across very different scales
The University of Trento's public research material gives concrete examples from several fields rather than presenting one narrow institutional identity. Current stories include a three-dimensional atlas of brain connections, laboratory work connected with quantum theories, research on the collapse and reorganisation of living systems, and a bioinformatics tool for complex molecular data. This range is useful for a researcher who is deciding whether a question is best framed through physics, life science, computation, engineering, or a combination of them. It is not evidence that every group uses the same methods. Each example should be treated as a route toward the department, researcher, or project that explains the work in greater detail.
The examples also show why a shared theme can be misleading. A brain atlas and a molecular-data tool may both involve computation, but they can have very different evidence, techniques, and research aims. Work on quantum theories in a laboratory may have little in common with a health-related project except for the fact that both are research. Use the public stories to identify precise language, then ask what research object is central and how it is examined. This produces a more informative comparison than grouping every result under a broad word such as innovation, science, or technology.
Cross-disciplinary work needs an identifiable academic home
UniTrento's current research stories include engineering, biophysics, medicine, humanities, economics, and work that considers ethical, legal, and social questions around artificial intelligence. This can be helpful for a project that moves across several fields. The next step is to find the academic home that carries the main part of the question. A project concerning artificial intelligence may be technical, legal, social, or mixed in different proportions. A question about living systems may use physics, biology, medicine, or data analysis. Identify the unit where the method is actually described, then use the wider story only to explain the related context.
The public research material also includes examples tied to citizenship, historical practice, paediatric leukaemia, and ecological or biological processes. These are not a checklist of available paths. They are evidence that current public communication covers research questions with different objects and forms of evidence. For a focused note, select one example only when it genuinely overlaps with the research object you have in mind. Then look for a second local source that confirms the people or unit involved. This stops one news item from becoming too decisive and keeps the research connection easier to test.
Turn a UniTrento lead into a research comparison that can be revised
A University of Trento comparison can be built around an explicit chain: research object, academic unit, current work, and method. The object might be a neural connection, a quantum phenomenon, a molecular dataset, a social question, or a biological process. The current work should give the object some context, while the department, project, or researcher should show where the work is organised. Finally, name the methodological link that matters to you. It may involve imaging, modelling, laboratory testing, bioinformatics, historical evidence, field data, or an ethical and social analysis. Without that final link, a thematic resemblance remains only an early lead.
A good note also records what the official pages do not settle. A public story can describe a result without showing whether a related project is ongoing or how a particular group divides its work. It may identify a field without describing supervision, research routines, or the availability of a method. Keep those questions separate from the material already visible. Revisiting the closest current page later will show whether the work still aligns with the original object and method. This modest, evidence-led approach makes the comparison more dependable than a broad narrative about an institution's overall scientific range.
Institution record
- Country
- Italy
- 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.