Hasselt University
#597
QS World University Rankings 2026
28.3
QS 2026 overall score
Ranking data
QS World University Rankings source#597
QS World University Rankings 2026
#554
QS World University Rankings 2025
28.3
QS 2026 overall score
Indicator-level data
Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.
Academic reputation
- QS 2026 score
- 8.8
- QS 2026 rank
- #701
Employer reputation
- QS 2026 score
- 5.2
- QS 2026 rank
- #701
Faculty-student ratio
- QS 2026 score
- 85.7
- QS 2026 rank
- #128
Citations per faculty
- QS 2026 score
- 22.8
- QS 2026 rank
- #671
International faculty ratio
- QS 2026 score
- 78.5
- QS 2026 rank
- #306
International student ratio
- QS 2026 score
- 41.1
- QS 2026 rank
- #483
International student diversity
- QS 2026 score
- 46.4
- QS 2026 rank
- #448
International research network
- QS 2026 score
- 69.8
- QS 2026 rank
- #533
Employment outcomes
- QS 2026 score
- 6.6
- QS 2026 rank
- #801
Sustainability
- QS 2026 score
- 62.7
- QS 2026 rank
- #444
About Hasselt University
Hasselt University organizes its public research map around four interdisciplinary future domains
Hasselt University presents research through four interdisciplinary domains: a digital and data-driven future, a future economy and a just society, designing a sustainable future, and future health and quality of life. This structure gives a reader a useful first map, but each domain contains distinct research questions. A data-driven question can concern a dataset, algorithm, information system, privacy practice, user interaction, or public decision. A just-society question may involve institutions, work, law, inequality, policy, cultural practices, or local experience. A sustainable-future question could concern materials, energy, ecology, mobility, buildings, or consumption. A health-and-quality-of-life question can involve biology, clinical practice, behaviour, social support, or environment.
The domains are most helpful when they are used to narrow a question, not to claim a fit from a single phrase. A mobility question, for example, may focus on an infrastructure system, a travel behaviour, an energy use pattern, a policy intervention, or a health effect. Each version needs different evidence. Infrastructure work can use maps, sensors, counts, designs, and system models. Behavioural work may use interviews, surveys, diaries, or observation. A health-effect study may require exposure measures, clinical or population information, and an ethical framework. The next public source should identify which object and method are actually associated with a research group or project.
Digital systems, social questions, sustainability, and health require different Hasselt research materials
Hasselt University's research material describes work organised through interdisciplinary institutes, centres, groups, and academic bodies. That organisation matters because a digital system, a social question, an environmental process, and a health condition are not interchangeable research objects. A digital-system study can require data structures, source code, interaction records, benchmarks, or simulations. A social question may need public documents, interviews, historical material, surveys, or participatory observation. An environmental process can require field samples, sensors, maps, laboratory analysis, and long-term measurements. A health question may combine biological evidence with service records, patient perspectives, or behavioural data. The evidence should lead the route selection.
The university also makes research data management, open science, responsible research and innovation, and research policy visible on its public research page. These are useful signals for evaluating how a topic might be documented and handled, but they do not answer a specific research question on their own. A good research trail still needs a project, group, publication, or centre source that names the actual phenomenon. If a reader is exploring data governance, for instance, the relevant record should identify the kind of data, the system where it is used, the people affected, and the practice being examined. General terms such as responsible innovation become meaningful only when connected to a defined setting.
A Hasselt University inquiry can use organisation and open-science routes to build an evidence trail
For Hasselt University, begin by describing one observable issue and the evidence needed to investigate it. The issue might concern an algorithm's behaviour, a workplace practice, an energy system, a material, a health-service experience, or an environmental condition. The evidence may include datasets, documents, sensor readings, samples, interviews, prototypes, surveys, images, source code, models, or observations. This makes the university's institutes, centres, groups, data-management routes, and policy pages more useful. They become a way to find the research environment closest to the question, rather than a set of generic institutional labels.
Hasselt's public research pages establish an interdisciplinary organisation and four broad research domains. They do not verify that a particular unit is currently studying every topic that might fit one of those domains, nor do they establish access to a specific resource. A careful conclusion needs a local source that explicitly joins the object, setting, and research activity. If the material only points toward an adjacent domain, it should be treated as a reason to continue checking rather than as a final match. This keeps the Hasselt University profile accurate and practical for readers trying to form a well-grounded research question.
Institution record
- Country
- Belgium
- Region
- Europe
- 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.
Search opportunitiesOpportunity records may use a different form of the institution's name. Confirm every listing with its original source.