QS ranking profile
Universität Regensburg
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
- #691
- Up 50 places since 2025
- QS 2025 rank
- #741
- Overall score
- 25.4
Explore opportunities at Universität Regensburg
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.
#701 worldwide
#701 worldwide
#181 worldwide
#801 worldwide
#505 worldwide
#768 worldwide
#708 worldwide
#512 worldwide
#600 worldwide
#801 worldwide
Institution profile
How QS classifies this institution
QS groups institutions by size, subject range, and research output.
- Size
- Large
- About 12,000 to 30,000 students
- Subject range
- Full comprehensive
- All main faculty areas, including a medical school
- Research intensity
- Very high
- Very high research output in the QS classification
- Region
- Europe
- QS regional grouping
University profile
About Universität Regensburg
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
Regensburg frames its research around global change, material worlds, digital transformation, and life
Universität Regensburg organises its research profile around dynamics in the global world, material worlds and sustainability, digital transformations, and integrated sciences in life, health, and disease. These areas make sense as broad invitations, but each needs a concrete object before it becomes a workable question. A global-change question might concern a migration pathway, language community, political relationship, or historical process. A material-world question may involve a substance, ecosystem, infrastructure, or pattern of use. A digital-transformation question can concern an algorithm, interface, data practice, or institutional decision.
The university's twelve faculties, research buildings, core facilities, networks, and research centres add more detail to those broad areas. A reader does not need to choose a faculty first. It is often clearer to begin with the thing that changes or needs explanation. A disease question may start with a cell, tissue, gene, clinical practice, or population. A sustainability question may start with a material flow, landscape, energy system, or behaviour. Once the object is visible, the right disciplinary and technical routes become easier to recognise.
Geometry, quantum states, microscopy, and cardiology show Regensburg research at several scales
Regensburg research examples include generalised motivic methods in geometry, machine learning for complex quantum states, microscopy at the space-time limit, experimental cardiology, and gene editing. These topics sit at very different scales. A geometry question may focus on a mathematical structure, relation, proof, or abstraction. A quantum-states question may involve a model, computational method, physical system, or theoretical prediction. Microscopy can bring a question down to a visual or structural level, while cardiology and gene editing can connect biological mechanisms with health conditions and clinical questions.
The point is not to treat every topic as a technical challenge. Mathematical work can depend on concepts and logical relations. Machine learning can involve data choices, model assumptions, and interpretation. A biological question can involve cells, tissues, genes, medical practice, and patient experience. Regensburg's profile makes room for these differences through research structures and shared infrastructure. A focused question should still state the object, scale, and type of change being examined before it reaches for a broad label such as digital transformation or life science.
At Regensburg, begin with the changing system before choosing a broad research theme
A useful Universität Regensburg inquiry starts by naming a changing system. It may be a geometric relation, quantum state, cell process, gene, image, material, energy practice, data system, or social relationship. Add the setting where the change occurs: a proof, simulation, laboratory, clinic, field site, archive, organisation, or public space. Then decide what can be examined, such as equations, images, samples, measurements, code, texts, observations, interviews, or models. This helps turn a wide theme into a question that can be explored carefully.
From there, the university's profile areas and facilities can provide context rather than replacing the question. A research centre may connect work across faculties. A core facility may clarify a technical capability. A network may show how a problem reaches beyond one academic area. Regensburg is particularly useful for readers who want to move between formal, digital, material, and health-related questions without flattening their differences. The clearest route keeps the changing system visible while using the university's structures to deepen the inquiry.