QS ranking profile
Queen Mary University of London (QMUL)
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
- #110
- Up 10 places since 2025
- QS 2025 rank
- #120
- Overall score
- 66.6
Explore opportunities at Queen Mary University of London (QMUL)
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.
#160 worldwide
#277 worldwide
#618 worldwide
#134 worldwide
#100 worldwide
#45 worldwide
#34 worldwide
#146 worldwide
#438 worldwide
#144 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
- Europe
- QS regional grouping
University profile
About Queen Mary University of London (QMUL)
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
A Faculty of Science and Engineering view with clear boundaries
Queen Mary University of London's Faculty of Science and Engineering provides a focused public view of research across five academic schools: Engineering and Materials Science; Electronic Engineering and Computer Science; Physical and Chemical Sciences; Biological and Behavioural Sciences; and Mathematical Sciences. This is a faculty-level picture, not a description of every part of Queen Mary University of London. That boundary is important. It makes the material useful for questions that sit within these scientific and technical areas, while avoiding a claim about departments, methods, or communities outside the faculty. A close comparison should begin with the relevant school and then move to a research centre or group.
The faculty's arrangement shows that related words can describe very different research environments. Materials work may sit beside engineering but still require a specific method or laboratory. Computational work may belong in electronic engineering, computer science, mathematical sciences, or a cross-school setting, depending on the problem. Biological questions can use behavioural, molecular, or quantitative approaches. The public school structure helps make those distinctions visible, but it cannot resolve them alone. The most useful next page is the one that identifies a centre, project, researcher, or research theme that matches the concrete question rather than a broad subject label.
Faculty research centres bring disciplinary work into named settings
The Faculty of Science and Engineering describes its research through faculty research centres as well as academic schools. A centre can be helpful because it may show a recurring area of work that links people from more than one department. It is still important to ask what kind of connection the centre represents. It may be a long-running research community, a shared technical focus, a network for a topic, or a place where several approaches meet. The public title is a starting clue, not a complete account of how a particular study is designed or who is currently involved.
The research material also refers to strategic themes and a research culture that includes equality, inclusion, and support for research staff. These details give context for how the faculty describes its research environment. Such general statements cannot establish the everyday practice of a particular laboratory or the availability of a specific project. For a meaningful comparison, separate culture statements from technical evidence. A group page, current publication, research story, or project description can show the research object and method. The faculty-level material can then explain where that smaller setting sits within a wider scientific and engineering structure.
Frame a QMUL science and engineering question with the right level of evidence
A sound Queen Mary University of London note should first state that its evidence comes from the Faculty of Science and Engineering. Then define the research problem in terms that can be checked: a material property, an electronic system, an algorithmic question, a chemical process, a biological mechanism, or a mathematical model. Start with the school aligned most closely with the subject, followed by the named centre or group that appears to address it. This sequence avoids a common mistake of treating the faculty's full range as a single research profile. The right connection is usually narrower and easier to explain.
Conclude by recording what the public material does not decide. A faculty centre may confirm a topical setting while leaving the exact role of a researcher unclear. A school may fit a field while the relevant method or data practice is not visible yet. That uncertainty is valuable because it tells the reader where to look next. Queen Mary University of London makes a structured science and engineering landscape visible through schools, centres, themes, and culture material. A careful profile uses those layers to locate one defined question without extending faculty evidence beyond its proper scope.