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The Program

Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Accordingly, big data has been called the “gold” of the digital revolution and the information age. On the other hand, the global volume of data is growing at a pace that seems to be hard to control. In this light, it has been noted that we are “drowning in a sea of data”. Faced with these prospects and risks, the world requires a new generation of data specialists.

Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management, and data analysis. Providing you with up-to-date knowledge and cutting-edge computational tools, data engineering has everything that it takes to master the era of big data.

 

 

Curriculum

The Data Engineering graduate program is composed of a mixture of foundational lectures, specialized courses, industry seminars and applied project work, leading to a master’s thesis that will usually be conducted in close collaboration with an industry partner or even at a company site. The program takes four semesters (two years). The following table shows an overview of the modular structure of the program. All credit points (CP) are ECTS (European Credit Transfer System) credits. Students acquire 30 credit points per semester on average.


Details on modules and courses can be found in the program handbook.

Data Engineering (MSc) Program Handbook Fall 2019