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Institution profile

University of Houston

United States of AmericaAmericas

#556

QS World University Rankings 2026

29.6

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#556

QS World University Rankings 2026

#651

QS World University Rankings 2025

29.6

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
18.7
QS 2026 rank
#656

Employer reputation

QS 2026 score
24.9
QS 2026 rank
#541

Faculty-student ratio

QS 2026 score
8.1
QS 2026 rank
#801

Citations per faculty

QS 2026 score
30.2
QS 2026 rank
#585

International faculty ratio

QS 2026 score
48
QS 2026 rank
#448

International student ratio

QS 2026 score
43.9
QS 2026 rank
#459

International student diversity

QS 2026 score
32.8
QS 2026 rank
#579

International research network

QS 2026 score
74.1
QS 2026 rank
#465

Employment outcomes

QS 2026 score
67.3
QS 2026 rank
#230

Sustainability

QS 2026 score
57.1
QS 2026 rank
#558
University profile

About University of Houston

Houston's research division separates facilities, centres, events, and researcher support

The University of Houston's Division of Research makes several routes visible at once: core facilities, research centres and institutes, research offices, institutional data, events, and support for faculty work. These routes answer different questions. A core-facility description may identify specialised equipment and expertise. A centre or institute can identify an organised setting. An event can reveal a topic under discussion. A researcher-support page explains part of the surrounding process. None of them is a full project account. A reader looking for a focused research connection still needs a record that identifies the research object, the local situation, and the form of evidence being used.

The division's listed events illustrate why that distinction matters. Recent topics include machine learning for forecasting dynamical systems, reproducibility in publications, AI in health and biomedical research, quantum research, and data science. These are directions, not interchangeable methods. A dynamical-systems inquiry may need time-series data, a model, a physical process, and a test of prediction. A health AI question may require clinical context, data definitions, a technical model, and a careful account of people or services. A quantum topic may depend on a different experimental or theoretical setting. The public research map can move a reader from a broad event label toward a source with a defined object.

Health, ocean carbon, space biology, and thermal technology reveal distinct UH research objects

University of Houston research news describes several sharply different problems: molecular mechanisms associated with childhood soft-tissue cancer, thin piezoelectric hand sensors for post-stroke rehabilitation, ocean-based carbon-dioxide removal along U.S. coastlines, biofilms in human space exploration, MRI-related nerve stimulation, and a method intended to control heat flow in devices. These examples make it clear that a shared university does not mean a shared evidence base. A cancer question may require cellular mechanisms, biological material, and treatment context. A rehabilitation-device question may involve sensor behaviour, human movement, interface design, and home use. An ocean-carbon question may involve coastlines, water motion, chemical processes, and environmental conditions.

The space and thermal examples add further distinctions. Biofilm research can involve microorganisms, surfaces, conditions of travel, and biological systems. An MRI question involving implanted electrodes needs an account of the device, stimulation, imaging conditions, and patient safety. Heat-flow work can depend on material properties, device structure, measurements, and experimental control. A news story can introduce these research objects, but it may not provide the full protocol, data, or current project scope. A closer official publication, laboratory, project, or researcher record is the right place to verify a narrow claim about one of them.

Use Houston public research routes to locate a source that addresses one defined inquiry

A practical University of Houston search begins by turning a general interest into a researchable problem. Instead of looking only for health, energy, space, AI, or innovation, name the thing being investigated and the condition in which it operates. It could be a tumour mechanism, a wearable sensor, a coastal process, a microbial community, an implanted electrode, or a thermal component. Then list what would support a credible answer: samples, sensor traces, images, technical tests, clinical records, environmental measurements, models, policy material, interviews, or datasets. The Division of Research routes can then be used to find the closest local source rather than to infer detail from a general institutional page.

UH's public material shows a research-support structure, facilities and centres, seminars, and several diverse research stories. It does not show that every related topic is active in a named group, that an event represents a continuing study, or that a facility is suitable for a proposed use. A reliable description should be tied to a page that identifies the same object and research context. If the visible information is only adjacent, retain it as a useful lead and continue to the next official record. This keeps the profile useful for discovery while respecting the limits of a high-level research page.

Institution record

Country
United States of America
Region
Americas
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.

Search opportunities

Opportunity records may use a different form of the institution's name. Confirm every listing with its original source.