M.Sc. Data and Knowledge Engineering

The target group of the Master Data and Knowledge Engineering are better-than-average graduates with a Bachelor degree in Computer Science or a closely related field with a minimum grade point average of 2,30 on the German scale. The duration of the Bachelor degree must be at least 3 years (six semesters), the degree must contain one course on Databases and either 10 courses (60 ECTS) in CS or 6 courses (40 ECTS) in CS and 4 courses (20 ECTS) in applied statistics. These courses may not be exercises or praktika.

The Master DKE can be studied in German or English. Thus International candidates must prove knowledge of German or English on level C1 according to the Common European Framework (e.g. DSH, TestDaF or TOEFL, IELTS, CAE). Here (opens in a new tab) you find the different certificates accepted by our University and how CEFR C1 maps to each one. Beware that this webpage contains also the mapping for B2; for the data science Master DKE, make sure that you check under C1. Exceptions from the English evaluation are listed at the end of that webpage.

Detailed information about the Master DKE can be found here (opens in a new tab). application instructions here (opens in a new tab).

Candidates fullfilling these requirements are further subject to a process of eligibility assessment. The regulations governing all prerequisites of the degree are part of the degree's statutes. Here (opens in a new tab) you find all statutes of the degree, most recent document first. To identify the current prerequisites, choose the most recent document named SPO_Master_...; you will find also a courtesy translation of that document in the same webpage. Beware that this document describes the regulations of more than one degree, so please focus only on the statements that concern the data science Master DKE.