The Department of Data Science at the Institute of Computer Science deals with the extraction of knowledge from large and complex data sets. The starting point for this is the processing and storage of data using relational database systems and the use of new, highly distributed technologies (NoSQL databases and Hadoop).
Data engineering is used to convert the often heterogeneous data into a usable form that allows information and insights to be gained using advanced analytical methods (analytics). In addition to traditional ad-hoc analyses, statistical methods and intelligent algorithms are also used (data mining). A particular challenge here is the need for distributed processing due to the large volumes of data with suitable software tools in the cluster network. In addition, artificial intelligence methods (machine learning) are also used at the highest level in the field of data science, for example to make predictions. This enables companies to make objective and data-supported decisions.
In the field of data science, professors and staff work with these technologies in various application areas: Medicine, the energy industry and business intelligence.
The following courses, among others, are supported by the department
