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QS ranking profile

Tokyo University of Science (RIKADAI)

Japan Private not for Profit

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
#801
Down 50 places since 2025
QS 2025 rank
#751
Overall score
Not published
Verified Catalog STEM PhDs, Postdocs & Fellowships

Explore opportunities at Tokyo University of Science (RIKADAI)

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 11.5

#701 worldwide

Employer reputation 57.5

#205 worldwide

Faculty-student ratio 12.1

#801 worldwide

Citations per faculty 16.3

#778 worldwide

International faculty ratio 15.1

#801 worldwide

International student ratio 7.2

#801 worldwide

International student diversity 10.7

#801 worldwide

International research network 22.6

#801 worldwide

Employment outcomes 49

#353 worldwide

Sustainability 46.5

#801 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
Full comprehensive
All main faculty areas, including a medical school
Research intensity
Very high
Very high research output in the QS classification
Region
Asia
QS regional grouping

University profile

About Tokyo University of Science (RIKADAI)

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

At TUS, faculties and research organizations create several paths for science and technology questions

Tokyo University of Science presents four campuses, seven faculties, thirty-three subjects, seven graduate schools, and thirty majors alongside a research structure that includes research fields, research organizations, innovation and social collaboration, and a Center for Data Science. That breadth can be useful when a scientific interest has more than one possible home. A question about a digital system may concern an algorithm, a dataset, an interface, a physical device, a decision, or a social consequence. A question about chemistry may centre on a reaction, material, measurement, biological interaction, or industrial process. The academic label gives a first direction, but the object being investigated should determine where the question belongs.

The university's research map also makes it possible to separate a discipline from the way work is organised. A school or graduate setting can locate a field of study. A research organisation can bring several fields around a problem. A centre can make a shared capability or theme visible. A practical collaboration may introduce a setting where a scientific question encounters a wider use. These forms are related but not identical. A strong Tokyo University of Science enquiry identifies the phenomenon, the setting, and the evidence that would make the issue answerable before looking for the closest institutional route.

Data science, biomedical science, space systems, and fire science give TUS research different homes

The Center for Data Science at Tokyo University of Science brings together basic sciences, engineering, pharmacy, biomedical sciences, and management for data-focused education and research. The Research Institute for Biomedical Sciences has eight divisions devoted to life-science work. The university also identifies a Center for Space System Innovation and a Center for Fire Science and Technology. These are different settings with different objects. A data-science question may depend on a dataset, model, analytical choice, or decision context. A biomedical question may depend on a cell, tissue, molecule, physiological process, or laboratory method. A space-systems question can involve an instrument, orbit-related condition, communication, material, or engineered system. A fire-science question may concern combustion, heat, materials, buildings, behaviour, or risk.

These distinctions matter when a topic crosses fields. A question about health data could involve both a biological measure and a computational method, but it still needs to say what is being predicted, compared, or explained. A question about safety could join materials, sensors, building conditions, and human action, but each part requires its own observation. A reader can start by naming the material or system, then add the condition in which it changes and the outcome that matters. This preserves the possibility of multidisciplinary work while keeping the role of each field visible.

Research institutes at TUS give technical interests a more precise working context

Tokyo University of Science identifies the Center for Research Promotion, the Research Institute for Science and Technology, the Research Equipment Center, and the Organization for Innovation and Social Collaboration. The Center for Research Promotion was established to plan and manage initiatives that strengthen education and research. The Research Institute for Science and Technology coordinates collaborative activity across the university. The Research Equipment Center operates advanced equipment and devices. The innovation and social-collaboration organisation connects basic research, more applied projects, and industry-academia cooperation. These functions give a reader several ways to consider whether a question needs a group, an instrument, a shared project, or an external setting.

A practical TUS search can begin with a small research statement. It might concern a molecular interaction, a model's behaviour, a sensor in a particular condition, a data pattern, or a fire-related material property. Then decide what would count as evidence: laboratory measurements, images, code, simulations, device tests, documents, or observations of use. This makes the university's research organisations more than a list of names. It turns them into possible settings for a question whose object and method can be stated clearly.