“U-Multirank” EU university rankings for medicine and computer science published
TUM in top group for research and knowledge transfer
“U-Multirank” surveyed several hundred universities throughout the world on a wide range of categories associated with research and teaching. The participating universities are not presented in a final ranking list but in individual groups categorized on the basis of subjects. The results of the rankings are based on student surveys, information provided by the universities, bibliometric data on scientific publications, and patent data.
Top group for research
In the overall evaluation, the TUM placed in the top group for six out of eight sub-areas in the “research” category. Criteria here include, for example, the numbers of research publications, the proportion of TUM publications most-cited internationally, and the volume of external research income obtained. This year’s subject rankings in medicine and computer science paint a similar picture in relation to research: medicine received good or very good evaluations in five out of eight sub-areas, and computer science managed to do the same in seven out of eight.
Success in the area of knowledge transfer
TUM scored similarly well in the category “knowledge transfer”: It achieved the highest score for joint publications and patents with industrial partners and for spin-offs. The ranking therefore confirms TUM’s strong entrepreneurial orientation, which provides support for the founding of start-ups, as well as entrepreneurial thinking through numerous consultancy services and funding opportunities.
In the “international orientation” category, TUM features in the top group for foreign-language master’s programs, student mobility, the proportion of international academic staff overall, and joint publications with international partners.
Good conditions for students of medicine and computer science
Medicine students at the TUM evaluated the quality and organization of their courses, as well as the “overall learning experience” as good. Their computer science counterparts also evaluated conditions in their faculty as good in almost all of the surveyed categories (six out of eight).
In some sub-areas of the “teaching and learning” category, however, the methodology used in the ranking process proved to be imprecise. Under the category “contact with work environment”, for example, the only aspect surveyed is whether industrial placements are a regular component of the course of study – other forms of cooperation with industrial partners were not taken into account.
Further information
Technical University of Munich
Corporate Communications Center
- Dr. Vera Siegler
- vera.siegler @tum.de
- presse @tum.de
- Teamwebsite