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Institution profile

Norwegian University of Science And Technology

NorwayEurope

#267

QS World University Rankings 2026

48.9

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#267

QS World University Rankings 2026

#264

QS World University Rankings 2025

48.9

QS 2026 overall score

QS 2026 indicators

Indicator-level data

Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.

Academic reputation

QS 2026 score
45.9
QS 2026 rank
#255

Employer reputation

QS 2026 score
33.4
QS 2026 rank
#430

Faculty-student ratio

QS 2026 score
30.7
QS 2026 rank
#620

Citations per faculty

QS 2026 score
45.1
QS 2026 rank
#413

International faculty ratio

QS 2026 score
87.4
QS 2026 rank
#240

International student ratio

QS 2026 score
17.7
QS 2026 rank
#769

International student diversity

QS 2026 score
23.8
QS 2026 rank
#709

International research network

QS 2026 score
95.2
QS 2026 rank
#77

Employment outcomes

QS 2026 score
90.5
QS 2026 rank
#101

Sustainability

QS 2026 score
80.3
QS 2026 rank
#165
University profile

About Norwegian University of Science And Technology

Norwegian University of Science and Technology presents research through strategic areas, centres, and support routes

Norwegian University of Science and Technology, commonly known as NTNU, makes research and innovation visible alongside faculties, departments, libraries, researcher support, strategic research areas, and routes for international researchers. Its research-excellence page also names several kinds of research-centre arrangement: centres for complex problems, research-based innovation centres, and centres concerned with environmentally friendly energy research. These descriptions point to different ways of organising work. A complex problem may require sustained inquiry across a field. An innovation-centre structure may involve research institutions and companies. An energy-centre structure may connect technology with questions around renewable energy or carbon capture and storage. The existence of a centre category does not prove that a particular question, lab, or dataset is available. It gives a reader a vocabulary for searching more precisely.

The public material names the Kavli Institute of Systems Neuroscience and K.G. Jebsen Centres among examples of research settings, while also listing strategic research areas and innovation resources. A named institute or centre can be a promising route when the subject is close to its published remit. It should still be checked against the research object and the evidence needed. Systems neuroscience may involve experimental, computational, behavioural, imaging, or other approaches, but a central listing does not specify the design of every current project. In the same way, an innovation route may show collaboration as an institutional possibility without establishing a particular partnership. A well-grounded NTNU profile keeps the search close to the local group, research question, and available public description.

Research news and public resources show a wide subject range across NTNU's academic setting

NTNU's home page includes research news on underwater robots, community health offices in Sierra Leone, renewable energy and biodiversity, and waste in textile production. These examples show that public research communication can range from engineering and robotics to health practice, environmental trade-offs, and production systems. They should be read as individual leads, not as a statement that all departments work on every topic. A story about a robot may depend on engineering design, sensors, control systems, field testing, or another form of evidence. A story about health offices may involve records, implementation, community experience, or policy. A story about energy and biodiversity may require ecological observations, spatial data, modelling, or regulatory material. The local research source is where those possibilities become specific enough to assess.

The university also points to its library and museum, and identifies Trondheim, Gjøvik, and Ålesund as NTNU locations. These pages help with orientation, yet they should not be used to infer where a particular laboratory, team, field site, or research activity is based. When a topic seems connected to a news item, a strategic area, or a centre, search for the unit that names the people and research practice. This can reveal whether the work relies on a technical system, biological material, observation, social data, a collection, prototype development, or another route. It also keeps geographic detail accurate, especially in a university that presents activity across more than one location.

Build an NTNU comparison from the research object to the closest visible unit

An NTNU research note works best when it begins with an object that can be investigated clearly. It may be a neural system, autonomous vehicle, energy technology, biodiversity pattern, manufacturing process, health service, public decision, or digital tool. The next line should identify the relevant material or evidence: sensor data, a physical prototype, images, biological samples, field observations, clinical or service records, interviews, documents, simulations, or a dataset. That creates a practical test for the university's public structure. A strategic-area page may provide background. A centre may suggest a local route. A faculty or department can identify disciplinary context. A researcher or project page is the strongest place to confirm whether the question and evidence genuinely meet.

NTNU's visible research map includes work that can involve institutions, companies, public organisations, and international connections, but those institutional routes should not be mistaken for a personal research promise. The final profile should say only what the closest current page establishes: the group, the research object, the method or material that is named, and any relevant local setting. If a key link is missing, leave it unresolved rather than assuming that a centre title answers it. This method gives the university's broad research-and-innovation landscape a useful role in exploration while keeping the final comparison attached to evidence that can be checked.

Institution record

Country
Norway
Region
Europe
Status
Public
QS size code
XL
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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