QS ranking profile
University of Milan
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
- #276
- Up 9 places since 2025
- QS 2025 rank
- #285
- Overall score
- 48
Explore opportunities at University of Milan
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.
#152 worldwide
#507 worldwide
#801 worldwide
#313 worldwide
#801 worldwide
#801 worldwide
#772 worldwide
#252 worldwide
#246 worldwide
#219 worldwide
Institution profile
How QS classifies this institution
QS groups institutions by size, subject range, and research output.
- Size
- Extra large
- More than 30,000 students
- Subject range
- Focused
- Teaches a limited range of faculty areas
- Research intensity
- Very high
- Very high research output in the QS classification
- Region
- Europe
- QS regional grouping
University profile
About University of Milan
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
Departments and research centres offer different routes into University of Milan research
The University of Milan makes departments, research centres, faculties, schools, and doctoral research visible in its central presentation. The public overview identifies 31 departments and 62 research centres, which gives useful context for a research question that may cross more than one field. A department can provide the disciplinary home, while a research centre can bring together people around a more focused topic. Do not assume that a centre includes every subject connected with its name. The right route is to define the object of study, find the smallest unit where that object is discussed, and then check whether the people and methods visible there genuinely connect with the question you want to pursue.
The research page also distinguishes places, organisations, and infrastructure from research data and outputs. These categories answer different questions. A place or infrastructure page may suggest the technical or practical setting. An output can show the kind of work made visible. A department or centre can identify the group that carries the research. Read them together, but do not treat one as a substitute for the others. If an output seems relevant, look for the unit or researcher connected with it. If a facility looks promising, ask which current research groups use it. This creates a more reliable chain than collecting institutional keywords.
Research data, cultural resources, and technological infrastructure broaden the map
University of Milan's public research material includes research data and outputs, libraries, museums and cultural heritage, and technological infrastructure through Unitech. This variety can be useful for projects with very different evidence bases. A data-driven question may need information about data practices and computing or laboratory support. A history, culture, or heritage question may relate to collections, museums, or library resources. A technical question may require a facility or infrastructure that supports a particular experiment. The institutional listing does not reveal which resource belongs to which team. That connection has to be confirmed on current departmental, centre, or project pages.
The university also presents research alongside innovation, companies, patents, and spin-offs. This can give context for work that has a visible technical or applied dimension. It should not be read as a personal outcome claim or as a shortcut for assessing an individual research setting. A useful comparison asks a simpler question: does the local group work on the system, method, or evidence that matters to the research problem? If the answer rests only on a broad innovation label, keep it as an early lead. If a project or researcher page explains the shared research practice, the connection becomes more meaningful and easier to compare with other options.
Read University of Milan examples as leads, then follow them to the local work
Recent material from the University of Milan includes discussion of mitochondrial stress in communication between neurons and cells, a PET tracer for hidden inflammation, social coordination in primates, veterinary oncology, and nanoplastics in cell communication. These examples show that the public research record reaches across health, biology, animal studies, and related scientific questions. They are not a complete map of the university. A person interested in neuroscience, imaging, molecular biology, animal health, or environmental exposure should use an example only to locate the closest laboratory, department, or research centre. The method and research object need to be visible at that local level before a comparison is made.
A practical University of Milan note should identify one object, one research setting, one method or evidence link, and one uncertainty. The object may be a molecular pathway, imaging problem, species interaction, clinical system, cultural record, or technical process. The research setting should be a named department, centre, project, or group. The link might be an experimental approach, dataset, collection, instrument, or analysis method. The uncertainty may concern the current team or scope of the work. Keeping all four elements separate avoids an inflated university-wide claim and gives the profile a clear basis for revision when the relevant official pages change.