Charles University
#265
QS World University Rankings 2026
49
QS 2026 overall score
Ranking data
QS World University Rankings source#265
QS World University Rankings 2026
#246
QS World University Rankings 2025
49
QS 2026 overall score
Indicator-level data
Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.
Academic reputation
- QS 2026 score
- 58.5
- QS 2026 rank
- #182
Employer reputation
- QS 2026 score
- 55.5
- QS 2026 rank
- #217
Faculty-student ratio
- QS 2026 score
- 37
- QS 2026 rank
- #543
Citations per faculty
- QS 2026 score
- 14.3
- QS 2026 rank
- #801
International faculty ratio
- QS 2026 score
- 33.5
- QS 2026 rank
- #549
International student ratio
- QS 2026 score
- 61.7
- QS 2026 rank
- #328
International student diversity
- QS 2026 score
- 65.4
- QS 2026 rank
- #300
International research network
- QS 2026 score
- 97.2
- QS 2026 rank
- #33
Employment outcomes
- QS 2026 score
- 73.2
- QS 2026 rank
- #196
Sustainability
- QS 2026 score
- 76.9
- QS 2026 rank
- #217
About Charles University
Charles University makes research support, infrastructure, and responsible practice visible
Charles University presents a broad research structure that includes faculty organisation, European Research Council activity, national and international research routes, large research infrastructures, open science, research-data policy, research software engineering, research security, and a postdoctoral hub. This is useful because it shows that a research environment has more than one layer. A faculty or department gives a disciplinary home. An infrastructure can make specialised evidence or equipment available. Data and software guidance can support responsible research practice. A research-security route addresses a separate institutional concern. These layers may all matter for a project, but none of them should be mistaken for the research question itself.
The university also makes ethics, equal opportunities, an ombudsman function, and an ethics commission visible in its public structure. These are important parts of the institutional environment around research and academic life. They do not show what a particular laboratory studies or how a specific project is conducted. The practical approach is to locate the local research setting first, then use the wider university structure to understand which supports, policies, or infrastructures may be relevant. That preserves the difference between a scholarly question, the evidence needed to answer it, and the organisational conditions that can make the work possible.
International networks and research-to-business routes offer different forms of connection
Charles University's public pages identify the 4EU+ Alliance, international research relationships, a Charleston Programme, career development routes, research-to-business activity, and microgrants. The site also lists a wide set of international networks and mobility relationships. These routes can matter for a reader interested in collaboration, a cross-border research question, a shared infrastructure, or the movement of a research result into a wider setting. They should be treated as different forms of connection. Membership in a network is not proof that a local group works on a particular topic. A research-to-business route does not reveal the original method or dataset behind an output.
The university's public news also highlights new strategic relationships with universities in Taiwan and calls connected with the 4EU+ alliance. Those notices show ongoing institutional activity, but a news announcement is not a detailed research record. The next source must identify the faculty, centre, group, or project where the question is defined. A collaboration becomes meaningful only when the reader can see what is being studied, who is involved, and which evidence or method connects the partners. This close reading avoids turning a long list of international opportunities into an unsupported statement about a specific research area.
Trace a Charles University research question through the appropriate local layer
For Charles University, write the research question at the level where it can be investigated. It may involve a scientific process, health issue, text, cultural object, legal question, social pattern, dataset, software system, or technical device. First identify the relevant faculty or local research unit. Then determine whether a large infrastructure, data-policy route, software-engineering support, open-science resource, ethics process, or international collaboration is genuinely connected to the proposed work. State the contribution of each source in plain terms. This produces an evidence trail rather than a collection of institutional labels.
The final note should say what has not yet been established. A university-wide support route may be relevant while the local project's use of it is unknown. A network can offer a possible connection without showing active collaboration on the exact topic. A public policy page can explain conditions around research without identifying a method. These are useful boundaries for a follow-up check. Charles University's official information provides visible links among faculties, research support, data practice, ethics, infrastructure, and international cooperation. By following those links from the stated question to an identifiable local environment, a reader can form a careful picture of the research setting.
Institution record
- Country
- Czechia
- 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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