QS ranking profile
Nanyang Technological University, Singapore (NTU Singapore)
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
- #12
- Up 3 places since 2025
- QS 2025 rank
- #15
- Overall score
- 93.7
Explore opportunities at Nanyang Technological University, Singapore (NTU Singapore)
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.
#42 worldwide
#67 worldwide
#148 worldwide
#76 worldwide
#43 worldwide
#145 worldwide
#121 worldwide
#217 worldwide
#121 worldwide
#88 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
- Asia
- QS regional grouping
University profile
About Nanyang Technological University, Singapore (NTU Singapore)
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
A university organised through colleges and research clusters
Nanyang Technological University, Singapore presents its academic setting through colleges, schools, and cross-disciplinary work. Its education pages show a structure that includes computing and data science, engineering, science, business, humanities and social sciences, medicine, education, and international studies. For an applicant with a STEM focus, this is useful because it makes clear that a university can support related work through several different academic homes. A topic such as artificial intelligence, materials, health technology, climate research, or data-intensive science may sit in one school while drawing on people or facilities elsewhere. The practical task is to find the unit that owns the academic route and then see how it connects with the wider research environment.
NTU's research pages describe six research focus clusters: artificial and augmented intelligence; resilient urbanisation and natural ecosystems; brain and learning; health and society; future of industry; and culture, organisations and society. The cluster list is a starting point, not a programme catalogue. It can help a reader identify language used by the university and locate research that crosses department boundaries. After finding a relevant cluster, move to the associated college, school, centre, institute, or researcher profile. That next step matters because broad cluster names can contain work with very different methods, technical depth, and day-to-day research practices.
Research infrastructure and responsible practice
The research section also points to centres and institutes, research centres of excellence, pan-university facilities, and research within colleges and schools. It describes governance and support around research integrity, human subjects, animal research, data management, and research protections. These pages give a useful sense of how research is organised and supported, especially for applicants who expect their work to involve laboratories, human data, field studies, or collaboration across units. They should not be taken to mean that a particular student will use a named facility or participate in a particular project. Access, supervision, and project design are local questions that need to be checked with current programme and academic information.
The education pages distinguish graduate research programmes from coursework programmes and place both within the wider college-and-school structure. That distinction is especially important when comparing options that have similar subject titles. A reader should find out whether the route is designed around a sustained research project, a taught sequence, or a combination of both. Review the official programme description, the research interests of potential supervisors, and recent work from the relevant group. This produces a more reliable picture than assuming that every programme connected to a research cluster has the same form or expectations.
Turning broad interest into a focused shortlist
A useful way to assess fit at NTU Singapore is to start with one concrete research question instead of a broad subject label. Use the official cluster and school pages to identify where that question appears, then note the academic unit, related centres or facilities, and a small number of researchers whose current work is relevant. Look for a specific connection between your prior skills and the methods or problems visible in those materials. If the link depends only on a general phrase such as AI, sustainability, or innovation, it is still too broad for a serious shortlist entry.
Keep your notes separate by level. The university pages explain the institutional landscape, while school, programme, and research-group pages provide the information closest to an individual academic path. Confirm current details directly from those local sources before acting on them, because research groups and programme information can change. The QS figures above are useful as labelled university-level data, but they do not evaluate a particular school, supervisor, or research project. The strongest decision is usually the one based on a clear connection between your own question, the academic home for that question, and current official information about the route you are considering.