QS ranking profile
Hitotsubashi 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
- #553
- Down 14 places since 2025
- QS 2025 rank
- #539
- Overall score
- 29.8
Explore opportunities at Hitotsubashi 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.
#627 worldwide
#112 worldwide
#473 worldwide
#801 worldwide
#573 worldwide
#553 worldwide
#533 worldwide
#801 worldwide
#290 worldwide
#801 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
- Specialist
- Concentrated in a single subject area
- Research intensity
- Very high
- Very high research output in the QS classification
- Region
- Asia
- QS regional grouping
University profile
About Hitotsubashi University
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
Hitotsubashi keeps commerce, economics, law, social sciences, and social data science distinct
Hitotsubashi University's public academic map identifies faculties in commerce and management, economics, law, social sciences, and social data science. Those names are useful because they prevent a social or organisational question from becoming an undifferentiated search. A commerce question might centre on a firm, market, transaction, accounting record, or management decision. An economics question may concern incentives, distribution, institutions, data, or a policy effect. A legal question can require statutes, cases, rules, documents, and interpretations. A social data science question may require a defined dataset, model, measure, and explanation of how the data represents the underlying social process.
The faculty structure should be treated as a route map, not as proof that every adjacent subject is being studied in the same way. A question about work, technology, health, or public policy can cross several of these settings while still requiring a clear object. The relevant evidence could include documents, surveys, interviews, administrative records, archival material, statistical data, computational models, or observed practice. Before looking for a local page, a reader should decide what would count as a convincing answer. That decision makes the university's faculty and research navigation much more useful than a generic search for a familiar topic word.
Hitotsubashi institutes distinguish economic, social, data, governance, and health questions
Hitotsubashi's research page lists the Institute of Innovation Research, the Center for Financial Engineering, the Center for Gender Research and Social Sciences, the Institute of Economic Research, and the Research Centre for Information and Statistics of Social Science. It also names centres concerned with economic institutions, intergenerational studies, economic and social risks, health policy and economics, global economic systems, evidence-based policy making, regional and small-business policy, and global governance. These are distinct public research settings, not interchangeable labels. Each one suggests a different scale of question and a different set of materials to inspect.
For example, a financial-engineering question may need model assumptions, market data, risk measures, and a stated evaluation. A gender and social-science question may involve institutions, social categories, lived experience, texts, or survey material. A policy-making question may require rules, administrative records, causal evidence, public documents, or implementation accounts. The centre names help identify a direction, but a narrow conclusion needs a more local record that states the actual object and research activity. A centre can be the right address for a topic while still not establishing the method, dataset, or project that a proposed inquiry needs.
Open access, data policy, ethics, and publications have distinct discovery roles
The Hitotsubashi research navigation also makes research outcomes, university publication collections, an open-access policy, a policy for research-data management and sharing, and research-ethics routes visible. These are useful because they distinguish an output record from the conditions around research practice. A publication collection may help locate a visible result. A data-management policy explains a university-level approach to handling research material. An ethics route concerns review and responsibility. None of those pages alone proves the contents of a particular study, but together they help a reader choose the kind of record needed for the next check.
A careful Hitotsubashi University search can therefore follow an evidence sequence. First, write the question around a concrete object and setting. Next, choose the faculty or institute whose stated remit is closest to it. Then look for an outcome, project, researcher, or centre page that connects the question to actual material. The official sources establish a detailed social-science and policy-oriented research map with clear routes for research practice and public outputs. They do not establish that a particular topic has a current project, that a public record contains every needed source, or that a nearby institute confirms a specific connection. Maintaining that distinction produces a more accurate and useful profile.