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QS ranking profile

Shenzhen University

China (Mainland) Public

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
#452
Up 56 places since 2025
QS 2025 rank
#508
Overall score
34.2
Verified Catalog STEM PhDs, Postdocs & Fellowships

Explore opportunities at Shenzhen 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.

Academic reputation 11.9

#701 worldwide

Employer reputation 8.7

#701 worldwide

Faculty-student ratio 40.1

#501 worldwide

Citations per faculty 90.9

#100 worldwide

International faculty ratio 15.9

#780 worldwide

International student ratio 2.7

#801 worldwide

International student diversity 7.5

#801 worldwide

International research network 69

#547 worldwide

Employment outcomes 26

#623 worldwide

Sustainability 48.2

#751 worldwide

Institution profile

How QS classifies this institution

QS groups institutions by size, subject range, and research output.

Size
Extra large
More than 30,000 students
Subject range
Comprehensive
Teaches across all main faculty areas
Research intensity
Very high
Very high research output in the QS classification
Region
Asia
QS regional grouping

University profile

About Shenzhen University

Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.

Shenzhen University's two campuses sit behind a map of colleges, labs, journals, and research reports

Shenzhen University's English site gives a reader several distinct routes: colleges and schools, key institutes and laboratories, journals, library material, research and teaching news, and an institutional overview. The university identifies its Yuehai and Lihu campuses and describes itself as established in 1983. These facts help place the institution, but the more useful feature for research discovery is the separation of record types. A college page can indicate an academic home. A laboratory page can identify a narrower setting. A journal or library route can lead to outputs. A news item can document a reported event or result. Treating those pages as if they all make the same kind of claim would flatten the public evidence.

The overview also links Shenzhen University with the Shenzhen Special Economic Zone and the Guangdong-Hong Kong-Macao Greater Bay Area. That is institutional context, not proof that every school studies regional development or works with the same outside partners. A question about biomedical engineering, underground construction, crop biology, communication, or computational social simulation has to be followed to the relevant school, institute, or report. The central map is useful because it keeps those paths visible without pretending that a broad university description settles the details of each one.

Deep underground engineering, maize light response, and social simulation remain separate SZU examples

The research-and-teaching feed provides specific examples that should remain separate in a university profile. It includes an item from the State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering. It also carries a report on a maize light-response mechanism from the College of Life Sciences and Oceanography. Another entry introduces a social-simulation platform connected with the Office of Social Science, the School of Media and Communication, and the College of Computer Science and Software Engineering. These reports point to engineering systems, plant biology, and computational social inquiry. They are not three expressions of one method simply because they appear on the same university site.

Each example suggests a different kind of material to look for next. Underground engineering may involve construction conditions, infrastructure data, physical testing, monitoring, or modelling. A maize response may involve plant material, light conditions, genetic or molecular evidence, and controlled observation. A social-simulation platform may require models, code, social data, theoretical assumptions, and evaluation criteria. The public reports are valuable because they make the subject language concrete. They cannot establish that all laboratories and colleges at Shenzhen University do the same work.

A Shenzhen University profile needs to preserve the difference between a report and a structural route

For Shenzhen University, the strongest description follows the level of its source. The central site can establish that research, teaching, colleges, key institutes, laboratories, journals, and library routes are visible. A research-and-teaching item can establish that a particular topic was publicly reported in a named context. The two facts complement each other, but they answer different questions. A reader interested in a precise topic should use the reported item as a vocabulary lead, then look for the nearer page that identifies the specific laboratory, initiative, paper, or researcher page.

That distinction matters especially for a subject that crosses fields. A digital system can be an engineering object, a media object, a social-science object, or all three under different research designs. Plant research and underground engineering likewise require different evidence even when both use advanced technologies. The available pages support an institutional map and several concrete reports. They do not show a current opening, access to a resource, or an unstated method. Keeping the profile within those limits gives readers an accurate way to explore Shenzhen University without replacing specific evidence with a broad technological image.