QS ranking profile
George Washington University
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
- #358
- Up 13 places since 2025
- QS 2025 rank
- #371
- Overall score
- 41.1
Explore opportunities at George Washington University
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.
#389 worldwide
#297 worldwide
#628 worldwide
#436 worldwide
#801 worldwide
#498 worldwide
#466 worldwide
#373 worldwide
#133 worldwide
#502 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 George Washington University
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
George Washington research examples point to separate problem spaces
George Washington University presents research examples that include cancer therapies, diabetes prevention, trustworthy AI, and computer chips. These examples help show that the university's public research material spans health, technology, and other fields. They are not interchangeable. A health question may involve a population, a biological mechanism, a clinical setting, or a public-health problem; a computing question may involve hardware, algorithms, security, or policy. The useful next move is to find the research unit that describes the exact problem and approach, rather than treating a familiar topic word as proof of a close fit.
The university's main research story frames research as a route toward knowledge, practical impact, and public questions. That gives broad context for why different areas appear side by side. It does not define the work of every centre or researcher. A focused search should move from the public example to the smallest relevant setting, such as an institute, laboratory, or individual research profile. That page should identify what is being studied and how. It is the clearest place to judge whether a connection rests on comparable evidence instead of on a general theme.
The central research office describes a wider working framework
The Office of the Vice Provost for Research describes work across the research lifecycle and identifies research enhancement, a research commons, centres and institutes, core facilities, offices, and resources for different members of the research community. This material is useful for understanding the institutional layer around research activity. It may indicate where a reader can explore shared facilities or cross-field initiatives. It does not establish which resources are involved in a particular project. Local evidence remains necessary when the comparison depends on equipment, collaborative arrangements, or a specialised research environment.
GW also uses a research magazine and newsletter to share feature stories, briefs, and interviews with faculty experts. These publications can surface terminology and current topics, but they should be treated as entry points rather than final evidence. When a story appears relevant, find the associated academic unit and read its own materials. A profile becomes more trustworthy when the research object, the method, and the people carrying out the work are all visible in the same local context.
Make a George Washington University research note evidence-first
For George Washington University, formulate a research question before looking through the broad themes. Then identify a centre, institute, core facility, or researcher that makes the question concrete. The clearest evidence may be a current group description, a project page, or a researcher profile that names a compatible approach. If the subject is AI, specify the problem it addresses; if it is health, specify the mechanism, population, or intervention being studied. This level of detail shows whether the apparent connection is substantive or only a similarity in language.
Write the final record in a way that another reader can check. Name the local setting, state the visible research focus, and identify the question that remains unresolved. The central office can explain how research is supported, but it should not be made to carry claims about every discipline. Keeping the profile at this evidence level makes later comparisons more useful and lets new local information strengthen, narrow, or change the initial view.