The TU/e has identified a set of twelve core competences relevant to data science which are depicted in the ‘data science flower’. Many of these competences are associated with one or more research groups. The DSC/e combines both scientific and technological depth with multi-disciplinary width. More in depth descriptions of the involved groups and staff can be found in the ‘DSC/e research groups’ pages.
Almost all societal and business challenges cannot be solved by mono disciplinary expertise, yet they need a unique combination of knowledge from different fields. In many cases this requires is a combination of “Infrastructure”, “Analysis” and “Effect”, as depicted in the pipeline figure.
Within our research programs, we bring together experts from the various groups that together can tackle the most challenging issues. Cool things happen at the interfaces of these disciplines. See our ‘DSC/e research program’ page for more information.
Customer Journey (CJ)
prof.dr. M. (Mykola) PechenizkiyRead more
Health Analytics (HA)
prof.dr.ir. U. (Uzay) KaymakRead more