Data and Knowledge Engineering

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Data and Knowledge Engineering

The Master DKE delivers in-depth knowledge and competences on Data & Knowledge Engineering, one of the most promising career areas for ambitious computer scientists. Its subject area is "Engineering" for Data and for Knowledge, aiming to turn passive data into exploitable knowledge:

It focusses on the representation, management and understanding of data and knowledge assets. It encompasses technologies for the design and development of advanced databases, knowledge bases and expert systems, methods for the extraction of models and patterns from conventional data, texts and multimedia, modelling instruments for the representation and updating of extracted knowledge. The Master DKE can be studied on German or English and is thus open to students mastering either of the two languages.

At a glance

Degree	Master of Science (M.Sc.)
Standard period of study	4 Semester
Start of studying	winter term or summer term
Conditions of admission	Bachelor-degree or Diploma-degree in Informatics or Computer Science or an equivalent area, acquired with a good note. On the equivalence of degrees: The applicant must have attended in the Bachelor/Diploma-programme courses relevant to Computer Science for at least 40 semester-hours-per-week. The Examinatios board decides on the equivalence of degrees in a per case basis. Additionally, international applicants must deliver language certificates for either the English or the German language, and in particular: DSH for German TOEFL (computer-based with minimum 197 points, paper-based with minimum 527 points) More certificates are accepted: Applicants should consult the Admission Office
application deadline	summer term: by March 15th summer term: by January 15th (international university applicants) winter term: by September 15th winter term: by July 15th (international university applicants)