QS ranking profile
Brown 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
- #69
- Up 10 places since 2025
- QS 2025 rank
- #79
- Overall score
- 76.2
Explore opportunities at Brown 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.
#126 worldwide
#166 worldwide
#139 worldwide
#143 worldwide
#218 worldwide
#297 worldwide
#269 worldwide
#352 worldwide
#151 worldwide
#280 worldwide
Institution profile
How QS classifies this institution
QS groups institutions by size, subject range, and research output.
- Size
- Medium
- About 5,000 to 12,000 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 Brown University
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
Academic units and cross-field research
Brown University presents its academic structure through schools and colleges, academic departments, centres and institutes, libraries and collections, and graduate and professional education. Its public academic pages identify the Graduate School, School of Engineering, School of Public Health, Warren Alpert Medical School, School of Professional Studies, and Watson School of International and Public Affairs. For a STEM researcher, this layout is a reminder that a technical question can belong to a department while also connecting to a centre, a medical setting, or another school. The main task is to find where the work is actually organised.
The university's research pages describe examples of work that bring departments together, including the Carney Institute for Brain Science and the Institute at Brown for Environment and Society. These examples are useful because they show that cross-field work can have a named institutional setting. They do not mean that every topic has the same route or that every group works across every school. Use a centre page to understand the wider question, then read the relevant department and research-group pages to see what is active and who is involved.
The research environment beyond one laboratory
Brown's Division of Research describes support for researchers throughout a research cycle that includes early strategy, proposal preparation, agreements, intellectual property, compliance, integrity, and technology transfer. This gives a useful picture of the university-level systems around research. It should not be used to infer a particular student's role or access to a particular project. Instead, it helps frame questions about the environment in which a group works. A field with human subjects, shared data, clinical connections, or technical development may require you to understand both the local group and the wider structures that support it.
The academic site also distinguishes between undergraduate study and doctoral or master's programmes. This matters when a familiar department name appears at different levels of study. The programme page can clarify the academic route, while a group page can show the research setting. Read both, and avoid treating a university-wide description of interdisciplinary work as evidence that one named path will suit your goals. The closer the information is to the field, the stronger it is for making a careful comparison.
Checking research fit at Brown
Begin with a problem you want to study and identify the department or school that gives it an academic base. Then look for one or two centres, groups, or researchers that make the connection concrete. Your note should explain the link in plain terms: perhaps a method you have used, a data problem you want to solve, or a scientific question you want to develop. A shared word such as health, environment, data, or technology is not enough on its own. The connection becomes meaningful when current work makes the overlap visible.
Brown's central pages are helpful for mapping the range of schools, departments, and research support. The final judgement should come from current information about the field you would enter. The labelled data above is university-level material, not a measure of a particular programme, group, or research project. Recheck local pages as your shortlist becomes more precise, and keep any uncertain point separate from the evidence that is already clear.