QS ranking profile
Waseda 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
- #196
- Down 15 places since 2025
- QS 2025 rank
- #181
- Overall score
- 56.1
Explore opportunities at Waseda 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.
#118 worldwide
#37 worldwide
#639 worldwide
#801 worldwide
#535 worldwide
#461 worldwide
#426 worldwide
#650 worldwide
#98 worldwide
#252 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 Waseda University
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
The researcher database is a practical map of Waseda's research range
Waseda University makes a large part of its research activity visible through a public researcher database. The database can be read as a map rather than as a single institutional claim. Its subject navigation covers life sciences, information and communication, environmental and agricultural work, materials, energy, engineering, civil and building fields, aerospace and marine topics, humanities, social sciences, and natural sciences. Within those areas, it names more specific routes such as molecular biology, neuroscience, artificial intelligence, systems, information security, environmental policy, quantum materials, law, economics, history, and languages. The value of this structure is that it helps a reader move from a broad interest to a smaller scholarly setting where a research topic can be checked.
The database should not be treated as proof that every listed field is equally active in the same way or that all researchers work together. A search result identifies a person, affiliation, field label, publication record, or project detail that needs to be read in context. For a topic in machine learning, for example, the relevant work may be located in computing, engineering, image analysis, language processing, or a domain where computational tools serve another field. For an environmental question, the useful entry may involve policy, materials, energy, agricultural systems, or infrastructure. The research object and method are what make the database useful, not the size of the subject list.
A phonetics record shows why a local research description matters
One public record in the Waseda directory describes research on how Japanese learners perceive English tense and lax vowels. The work uses a perception experiment in which vowel duration was altered, creating a close connection between a linguistic question and a controlled form of evidence. This is a small but instructive example. It does not stand for all language research at the university, and it says nothing about unrelated fields. What it does show is how a broad label such as language or communication becomes a specific scholarly task: identify the sound contrast, define the participants, change one feature of the stimulus, and observe how perception changes.
That example also provides a useful method for reading any researcher record. Ask what is being studied, what material or data are involved, which procedure is used, and what the affiliation tells you about the setting. In the phonetics record, the answer is not simply that someone studies English. The work concerns a defined group of learners, a specific contrast in speech sounds, and an experimental design. The same level of care is needed when exploring a record in materials, robotics, health, economics, law, or social research. A directory can introduce a topic, but the individual record is where the research question becomes intelligible.
Use the database to create an evidence-based Waseda research note
A good Waseda University note begins with a research question that can be stated without broad labels. It may concern a biological mechanism, an information-security problem, an environmental policy, a material property, a language pattern, a social institution, or a technical system. Search the researcher database for the most relevant field, then read the local record closely. Capture the research object, the stated method, the named affiliation, and any current work that directly relates to the question. This makes it possible to compare real research descriptions rather than relying on a general university profile.
Keep the limits clear as well. A field taxonomy can be useful for discovery while a researcher record may not show every project, laboratory connection, or recent change in direction. A single project can reveal a method without establishing the practices of an entire department. Waseda University's public database is valuable because it lets a reader travel from a wide subject map to a precise scholarly record. That route supports careful comparison: start with the question, verify the evidence and method, and only then decide whether the local setting deserves further attention.