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AcademicWings STEM discovery

QS ranking profile

University of Pittsburgh

United States of America 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
#281
Down 6 places since 2025
QS 2025 rank
#275
Overall score
47.3
Verified Catalog STEM PhDs, Postdocs & Fellowships

Explore opportunities at University of Pittsburgh

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 45.4

#258 worldwide

Employer reputation 26.4

#516 worldwide

Faculty-student ratio 98.1

#57 worldwide

Citations per faculty 41.7

#453 worldwide

International faculty ratio 9.9

#801 worldwide

International student ratio 23

#688 worldwide

International student diversity 29.1

#625 worldwide

International research network 90.4

#171 worldwide

Employment outcomes 59.7

#272 worldwide

Sustainability 60.2

#501 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
Focused
Teaches a limited range of faculty areas
Research intensity
Very high
Very high research output in the QS classification
Region
Americas
QS regional grouping

University profile

About University of Pittsburgh

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

University of Pittsburgh research appears across health, culture, technology, and engineering

The University of Pittsburgh public site presents current work through a varied set of stories, including health-related training, assistive technology, interdisciplinary cultural study, and research connected with musculoskeletal care. This range is useful because it shows that a large university can make very different research objects visible at the same time. A health story may involve clinical systems, training, devices, data, or policy. A cultural centre may bring together humanities, media, history, and social questions. Do not treat the list as a uniform research identity. Use each story as a possible route toward the school, centre, laboratory, or researcher whose page explains the work in detail.

Pitt's Swanson School of Engineering provides another local entry point. Its public material describes departments, engineering research, hands-on learning, and current stories involving energy, infrastructure, manufacturing, imaging, and other technical questions. This is a different type of source from the university home page. The main site shows the wider research landscape; the school page helps locate a more specific technical environment. A useful comparison should identify which level of evidence is being used. Institutional stories are useful for discovery, while a department or research group is usually better for confirming the question and method.

Engineering news can be a lead to a research object, not a final conclusion

The engineering pages at the University of Pittsburgh feature work related to energy systems, structural monitoring, manufacturing, and biomedical imaging. These topics can overlap with many other fields, so a headline alone is not enough to establish a precise connection. A structural monitoring question might involve sensing, materials, civil systems, data, or reliability. An imaging question might involve engineering, health, computation, and instrumentation. Follow the story toward the people and research setting that define the actual problem. The most useful local source will explain what is measured, built, modeled, tested, or interpreted rather than only naming a public outcome.

This approach also prevents overreading an interdisciplinary setting. A university can support cross-field work without every group using the same partnerships or tools. Record whether the connection is visible in a named centre, project, department, or researcher profile. Then write the evidence type in ordinary language. It may be laboratory testing, design, clinical data, simulation, sensors, digital analysis, field observations, or a different method. This produces a comparison that is specific enough to check and avoids turning broad innovation language into a claim about an individual research environment.

Map a Pitt research comparison from the central site to the closest unit

For the University of Pittsburgh, start by stating the research object in one sentence. Next, decide whether the first route should be a university-wide story, an engineering department, a health-related setting, a cultural centre, or another academic unit. Then locate the page closest to the object and record the method it describes. A central story may help discover terms and people, but the local page should determine the comparison. This keeps the note from being driven by a broad topic label. It also gives a reader a clear reason to prefer one research setting over another based on visible work rather than reputation language.

Revisit the local evidence before using it for a current decision. Public stories can describe results from an earlier phase, a centre can include multiple lines of work, and a school page may not list every active project. The central Pitt and engineering pages are useful navigation tools because they expose several possible research routes. The final conclusion should remain narrow: identify the research object, the academic home, and the method or evidence that can be seen on a current official page. Anything beyond that should stay open until a closer source confirms it.