The aim is to train IT professionals who are able to understand the characteristics of different types of data and the structure of complex data sets, to recognise the connections between them, to apply the necessary transformation steps to raw data, to draw conclusions and to model real-world processes. They are prepared to continue their studies at doctoral level.
Description of the programme
More information about the programme is available here
Eligibility for studying at Data Science master program
There are 65 credits, detailed below, that the bachelor studies must contain for a successful application, out of which at least 30 should be completed at the moment of enrolment, and the remaining credits have to be gathered during the master studies, as an addition to the core curriculum (within, and/or outside of the framework of electives).
| Natural sciences (20 credits) | e.g. calculus, linear algebra, probability, statistics, numerical mathematics |
| Economics & humanities (5 credits) | |
| IT skills (35 credits) | e.g. data structures, data analysis, algorithms, database systems, programming languages, data security |
Curriculum F after 09. 2023
| Full-time | Part-time | |
| After 09. 2023. | Curriculum F | Curriculum F |
