Institut Teknologi Sepuluh Nopember (ITS)
#509
QS World University Rankings 2026
31.9
QS 2026 overall score
Ranking data
QS World University Rankings source#509
QS World University Rankings 2026
#585
QS World University Rankings 2025
31.9
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
- 27.4
- QS 2026 rank
- #456
Employer reputation
- QS 2026 score
- 60.2
- QS 2026 rank
- #192
Faculty-student ratio
- QS 2026 score
- 62.1
- QS 2026 rank
- #287
Citations per faculty
- QS 2026 score
- 2.7
- QS 2026 rank
- #801
International faculty ratio
- QS 2026 score
- 69.6
- QS 2026 rank
- #337
International student ratio
- QS 2026 score
- 11.9
- QS 2026 rank
- #801
International student diversity
- QS 2026 score
- 17.9
- QS 2026 rank
- #800
International research network
- QS 2026 score
- 27.6
- QS 2026 rank
- #801
Employment outcomes
- QS 2026 score
- 17
- QS 2026 rank
- #782
Sustainability
- QS 2026 score
- 52.5
- QS 2026 rank
- #654
About Institut Teknologi Sepuluh Nopember (ITS)
ITS Surabaya makes a technical research landscape visible across nine public faculty routes
Institut Teknologi Sepuluh Nopember, commonly called ITS, presents a public academic structure with eight faculties and a multidisciplinary school. The listed areas include civil, planning, and geo-engineering; creative design and digital business; industrial technology and systems engineering; intelligent electrical and informatics technology; marine technology; medicine and health; science and data analytics; vocation; and interdisciplinary management and technology. This structure is useful because many practical questions cross these boundaries. A coastal-infrastructure problem may involve marine systems, civil engineering, geospatial information, materials, data, and community conditions. A health-technology question may combine medicine, informatics, design, and organisational practice.
The faculty map should be used as a starting point rather than a shortcut to a conclusion. A reader needs to describe the actual system or phenomenon at issue. It might be a ship component, a drainage network, a sensor arrangement, a data model, a medical workflow, a production process, an urban site, or a digital interface. From there, specify the material that would make the question testable. Possible materials include measurements, geospatial records, laboratory samples, prototypes, code, images, documents, interviews, operational logs, or test results. The closer the object and evidence are defined, the easier it becomes to locate a relevant research record.
ITS research profiles, units, laboratories, and equipment are separate clues for a focused inquiry
ITS maintains a public research portal with researcher profiles, research units, laboratories, equipment, outputs, and media material. It also names faculties, departments, and laboratories as different organisational levels. This separation matters. An equipment listing may reveal a technical capability but not a current research question. A laboratory can identify an environment without explaining every project that takes place there. A researcher profile can indicate a person's published interests but may not show an active collaboration. A research output may provide a defined problem, method, and result. A sound search uses these records together without giving any one of them more meaning than it supports.
The listed faculty routes point to several useful distinctions. Marine technology is not the same as industrial systems engineering, even when both might touch manufacturing or transportation. Science and data analytics may supply data methods that differ from the work of intelligent electrical and informatics technology. Creative design and digital business can bring another perspective to a service or interface question. A focused inquiry should therefore ask whether a local record links the named object to a particular setting, method, or outcome. If it only shares a general term such as digital, sustainable, or smart, more checking is needed.
Turn an ITS system question into a local evidence search
A practical ITS search begins by writing one system question in ordinary language. It could ask how a marine structure behaves, how an infrastructure network is monitored, how a dataset supports a decision, how a manufacturing line is improved, how a health service uses information, or how a built environment is designed. Next, determine what evidence could clarify that question. Structural behaviour may require loads, materials, models, and physical tests. Monitoring may need sensor traces, maps, communication data, and field observations. A service question may depend on workflows, records, interviews, interface studies, or performance measures. This gives the public research map a precise purpose.
The visible ITS routes establish a broad technical and interdisciplinary setting. They do not verify that a particular department is currently pursuing a proposed subject, that a named laboratory uses a specific instrument for it, or that an external researcher can obtain access. A local profile, project, output, or laboratory page that describes the same system and evidence can justify a narrow connection. Where the record is only adjacent, keep it as a lead rather than a firm finding. This is a more dependable way to explore a technical university than relying on a broad subject label alone.
Institution record
- Country
- Indonesia
- Region
- Asia
- Status
- Public
- QS size code
- L
- 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.