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Institution profile

American University of the Middle East

KuwaitAsia

#563

QS World University Rankings 2026

29.4

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#563

QS World University Rankings 2026

#611

QS World University Rankings 2025

29.4

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
25.9
QS 2026 rank
#487

Employer reputation

QS 2026 score
34.7
QS 2026 rank
#416

Faculty-student ratio

QS 2026 score
28.9
QS 2026 rank
#652

Citations per faculty

QS 2026 score
8.9
QS 2026 rank
#801

International faculty ratio

QS 2026 score
100
QS 2026 rank
#7

International student ratio

QS 2026 score
36.9
QS 2026 rank
#528

International student diversity

QS 2026 score
38.6
QS 2026 rank
#512

International research network

QS 2026 score
67.2
QS 2026 rank
#586

Employment outcomes

QS 2026 score
6.1
QS 2026 rank
#801

Sustainability

QS 2026 score
47.2
QS 2026 rank
#783
University profile

About American University of the Middle East

AUM connects applied learning with research council, centres, laboratories, and project routes

The American University of the Middle East, known as AUM, presents research and innovation through a Research Council, centres and laboratories, project and collaboration routes, publications, and institutional highlights. It also identifies a College of Engineering and Technology, a College of Business Administration, and a Liberal Arts Department. This public structure is useful because a research council, an academic college, a laboratory, and a collaboration page each serve a different purpose. A council can show how research activity is organised. A college can locate an academic context. A laboratory can identify an environment for technical or empirical work. A project or output page can provide the strongest evidence about one actual research question.

AUM describes its educational approach as applying learning through creating, and its research page links this idea to innovation centres, resources, and experiential work. That does not mean every question should be treated as a product-development problem. A question in business may need organisational cases, documents, interviews, market data, or decision models. A question in liberal arts may call for texts, archives, visual material, observations, or discourse analysis. A question in engineering can require a design, a prototype, measurements, code, modelling, or tests. The public map is most helpful when it encourages a reader to name the object and evidence before choosing a research route.

Engineering, business, computing, and laboratory spaces form distinct discovery pathways at AUM

AUM's research material identifies an Engineering Research and Innovation Center, a Business Innovation Center, high-performance computing, laboratories, and studios. These names should lead to different questions. A computing inquiry may involve data, algorithms, software, hardware, performance measures, and reproducibility checks. An engineering question may require components, materials, sensors, test conditions, designs, or simulations. A business-innovation question can involve organisations, service practices, users, market conditions, records, or decision processes. A studio-based question may centre on visual or physical prototypes, user observation, design iterations, and documentation. The right research setting is the one whose public record corresponds to the actual work needed.

The university also lists projects and collaborations as separate paths within its research and innovation area. This matters because a collaboration is not automatically evidence of a particular result, and a centre is not automatically evidence of a current project. A focused search can use the centre name to locate the environment, then follow a project, research group, publication, or laboratory page to see whether it identifies the same problem. For instance, a high-performance-computing question should specify whether it concerns modelling, data processing, simulation, optimisation, or another defined task. Without that clarification, the phrase computing infrastructure is too broad to support a meaningful conclusion.

AUM's research map is most useful when one question identifies its working setting

For AUM, begin with one research object and one working setting. The object might be a device, a data process, a business decision, a service experience, a design prototype, a communication practice, or another observable issue. The setting might be a laboratory, a computing environment, an organisation, a classroom, a studio, a market, or a community context. Then list the evidence that joins them: test results, source code, datasets, field notes, interviews, documents, images, prototypes, or performance measures. This gives the Research Council, centres, laboratories, and project routes a clear role in a careful search.

AUM's visible pages establish a research-and-innovation structure with named centres and working spaces. They do not confirm that a particular team is pursuing a reader's exact question, that a resource is accessible for a proposed study, or that a topic has a single appropriate method. A precise claim should rely on a closer public record that connects object, setting, and activity. When the available material points only to a related domain, the correct interpretation is a lead for further investigation. This evidence discipline makes the American University of the Middle East profile useful without turning a broad institutional overview into an unsupported promise.

Institution record

Country
Kuwait
Region
Asia
Status
Private for Profit
QS size code
M
Profile record updated
October 31, 2025

This date shows when this profile was refreshed. It is not a source-verification date from QS or the university.

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