Data Engineering and Analytics

Handling and analyzing very large amounts of data is an urgent problem in many areas of science and industry and requires novel approaches and techniques. The trend towards "Big Data" is caused by a host of developments: Firstly, the creation and storage of large data sets becomes feasible and economically viable, for example due to price decreases in storage space, sensors, smart devices, social networks and many more. Secondly, technical advances for example in multi-core systems and cloud computing make it possible to examine data sets at large scale. And thirdly, such amounts of data do not only origin in the "classical" domains like business data, but now are created in many areas of life. Consider vehicles, that create sensor data and share information via intelligent networking, or consider data that is created by intelligent energy grids.

The master program Data Engineering and Analytics steps up to these developments and provides an education that on the one hand enables graduates to design and plan industry grade solutions in the area of Big Data, on the other hand creates a solid starting point for ventures into research.

For a comprehensive description of the program, please refer to the degree program documentation:

• Degree program documentation for the master's program in Data Engineering and Analytics (PDF, German) 

• when applying to a bachelor's degree program: You have completed your secondary school education outside of Germany with something other than a German Abitur.when applying to a master's degree program: You have completed your undergraduate studes (i.e. your bachelor's) outside of the EU, EEA or Switzerland.