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Institution profile

University of Pecs

HungaryEurope

#741

QS World University Rankings 2026

Not listed

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#741

QS World University Rankings 2026

#771

QS World University Rankings 2025

Not listed

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
20.1
QS 2026 rank
#613

Employer reputation

QS 2026 score
20.1
QS 2026 rank
#653

Faculty-student ratio

QS 2026 score
52.3
QS 2026 rank
#357

Citations per faculty

QS 2026 score
5
QS 2026 rank
#801

International faculty ratio

QS 2026 score
12.8
QS 2026 rank
#801

International student ratio

QS 2026 score
77.3
QS 2026 rank
#240

International student diversity

QS 2026 score
79.5
QS 2026 rank
#211

International research network

QS 2026 score
42.4
QS 2026 rank
#801

Employment outcomes

QS 2026 score
12.8
QS 2026 rank
#801

Sustainability

QS 2026 score
53.7
QS 2026 rank
#627
University profile

About University of Pecs

The University of Pécs spans medicine, science, engineering, culture, and business

The University of Pécs brings together medical and health sciences, pharmacy, engineering and information technology, natural sciences, business and economics, law, humanities, arts, music, and adult education. Its academic structure gives a student several ways to connect a research question with a faculty, laboratory, clinic, archive, or creative setting. The topic should not decide the route alone. The evidence, method, and expected result should show which academic unit can carry the main work.

The Medical School and Faculty of Health Sciences provide clinical, biological, public-health, and service settings. The Faculty of Sciences supports physics, chemistry, biology, earth sciences, mathematics, and environmental work. Engineering and information technology add buildings, energy, software, data, devices, and systems. Business, economics, law, humanities, and arts work with organisations, rules, markets, languages, records, images, performance, and cultural practice.

The Szentágothai Research Centre links life science, neuroscience, and environmental analysis

The János Szentágothai Research Centre is a University of Pécs research organisation for life sciences, non-living natural sciences, and environmental science. Its listed research groups include behavioural physiology and stress, bioinformatics, clinical neurology, environmental analytical and geoanalytical work, experimental cardiology, experimental cognitive and biopsychology, Parkinson's disease, physical activity, reproductive and tumour immunology, retinal neurobiology, structural neurobiology, translational neuroscience, virology, and Wnt signalling and biotechnology. Core facilities include animal work, genomics and bioinformatics, and imaging.

These groups illustrate how a broad theme becomes a method. Bioinformatics needs sequence or biomedical data and a computational workflow. Neuroscience may use imaging, behaviour, cells, neural signals, or clinical observation. Environmental analysis requires a site, sample, chemical measure, or geospatial record. Virology, immunology, and biotechnology need organisms, cells, treatments, or biological assays. A researcher page should be used to verify the specific question and available technique.

How to assess a University of Pécs route

Start with the object that will be studied. Medicine and health sciences need a patient group, service, record, or outcome. Biology and pharmacy require a specimen, cell, molecule, treatment, or process. Physics, chemistry, and environmental science need an instrument, material, equation, sample, or site. Engineering and informatics need code, data, a device, building, network, or performance test. Law, economics, humanities, and arts need rules, organisations, markets, texts, archives, audiences, or creative practice.

For Pécs, place the faculty, research centre or group, question, approach, study language, expected output, and one active researcher page in the same route note. Name the core facility, clinic, laboratory, archive, dataset, field site, or cultural setting required by the plan. Explain whether the work is clinical, laboratory, computational, field-based, mathematical, archival, textual, design-led, or organisational. The Szentágothai Centre can connect a project to life science, neuroscience, or environmental methods, but it should not replace the group that owns the question. Pécs may supply the clinical setting, research facility, city context, or simply the location of the team. Explain that role and name the initial sample, image, sequence, observation, interview, or record that will be examined. This helps distinguish a translational biomedical plan from a natural-science analysis, an engineering project, or a cultural study.

A practical University of Pécs research question

A strong Pécs question connects a named source of evidence with a measurable or interpretable result. It might analyse an image, sequence, clinical record, environmental sample, building, software system, legal text, or cultural collection. Write the main result first, then identify the faculty and research group that can provide the method. This keeps the route focused across the university's medical, scientific, technical, and cultural fields.

Institution record

Country
Hungary
Region
Europe
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.

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