Master's Degree in Data & Knowledge Engineering (MDKE)

A research-oriented MSc that trains students to design data-driven and knowledge-based systems, combining core computer-science methods with data and knowledge engineering specialisation. The programme is positioned for advanced study and applied work in modern information systems.

Minimum GPA

Minimum 2.5 on the German grading scale.

English requirements

English language skills at level C1.

German requirements

C1 (CEFR)

Accepted bachelor fields

Bachelor's degree, diploma, or equivalent in a relevant subject from a recognised university; the programme page lists computer science and related fields.

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None

Semester contribution

311.30 EUR (official OVGU semester fee for summer semester 2026).

ECTS credits

120

Funding info

Tuition: None Semester contribution: 311.30 EUR (official OVGU semester fee for summer semester 2026).

The programme prepares graduates for advanced work and research in data- and knowledge-intensive software systems and information engineering.

• 1

  Konrad Zuse School of Excellence in Reliable Artificial Intelligence, relAI

  Ludwig-Maximilians-Universität München

  München · PhD · English

• 2

  Python for Data Analysis and Visualisation

  Technische Universität Berlin

  Berlin · Certificate · English

• 3

  Applied Artificial Intelligence (MAAI) – MSc

  Heilbronn University of Applied Sciences

  Heilbronn · Master of Science · English

• 4

  Business Intelligence and Data Analytics

  University of Applied Sciences Emden/Leer

  Emden · Master of Engineering · English

• 5

  Industrial Artificial Intelligence

  Albstadt-Sigmaringen University

  Albstadt · Master of Science · English