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Institution profile

Hitotsubashi University

JapanAsia

#553

QS World University Rankings 2026

29.8

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#553

QS World University Rankings 2026

#539

QS World University Rankings 2025

29.8

QS 2026 overall score

QS 2026 indicators

Indicator-level data

Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.

Academic reputation

QS 2026 score
19.7
QS 2026 rank
#627

Employer reputation

QS 2026 score
78.1
QS 2026 rank
#112

Faculty-student ratio

QS 2026 score
42.2
QS 2026 rank
#473

Citations per faculty

QS 2026 score
4
QS 2026 rank
#801

International faculty ratio

QS 2026 score
31.3
QS 2026 rank
#573

International student ratio

QS 2026 score
33.5
QS 2026 rank
#553

International student diversity

QS 2026 score
36.1
QS 2026 rank
#533

International research network

QS 2026 score
11.7
QS 2026 rank
#801

Employment outcomes

QS 2026 score
57.5
QS 2026 rank
#290

Sustainability

QS 2026 score
32.2
QS 2026 rank
#801
University profile

About Hitotsubashi University

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.

Institution record

Country
Japan
Region
Asia
Status
Public
QS size code
M
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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