Data, Science and AI

Interdisciplinary bachelor's programme combining mathematics, computer science, data science, and application-domain work for machine learning, algorithms, and data-driven problem solving.

Academic requirements

University entrance qualification (German: 'Hochschulzugangsberechtigung'), TestAS or SAT certificate with a sufficiently high score

Minimum GPA

No fixed minimum GPA is published.

English requirements

English at B2 CEFR is required. German at DSH-2 level or an equivalent German-language qualification is also required.

German requirements

Basic command of German (equivalent to A1 of the European Framework of Reference for Languages) -- can also be fulfilled by the end of the second semester of study

Accepted bachelor fields

Requires a recognised university entrance qualification. No prior subject specialisation is published, but the programme is designed for students with strong quantitative and computing interests.

APS Certificate

Yes

Tuition fee

None

Semester contribution

165.84 EUR per semester as of Summer Semester 2026.

ECTS credits

180

Funding info

Tuition: None Semester contribution: 165.84 EUR per semester as of Summer Semester 2026.

Graduates are prepared for data-driven roles across industry and technology and for related master's study in data science, AI, and computing.

• 1

  Data Science

  University of Regensburg

  Regensburg · Bachelor of Science · German, English

• 2

  Applied AI for Digital Production Management, MEng

  Deggendorf Institute of Technology

  Cham · Master of Engineering · English

• 3

  Artificial Intelligence for Molecular Sciences

  Technische Universität Braunschweig

  Braunschweig · Master of Science · English

• 4

  Social and Economic Data Science (SEDS) – Master of Science

  University of Konstanz

  Konstanz · Master of Science · English

• 5

  Cognitive Systems (Master of Science)

  Ulm University

  Ulm · Master of Science · English