Konrad Zuse School of Excellence in Reliable Artificial Intelligence, relAI

Structured doctoral training environment in reliable artificial intelligence offering fully funded positions, research mentoring from academia and industry, and curriculum components in reliable AI and transferable skills.

Academic requirements

Excellent Master's degree in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines

Minimum GPA

No fixed minimum GPA is published.

English requirements

English at C1 or equivalent is required.

Accepted bachelor fields

Requires a strong background suitable for doctoral research in reliable AI, typically from computer science, mathematics, statistics, electrical engineering, physics, or a closely related field.

APS Certificate

No

Tuition fee

None

Semester contribution

No single central semester contribution is published for relAI; fees depend on the doctoral candidate's specific enrollment host.

Funding info

Tuition: None Semester contribution: No single central semester contribution is published for relAI; fees depend on the doctoral candidate's specific enrollment host.

The programme prepares graduates for doctoral-level careers in reliable AI research and for advanced R&D work in academia, research institutes, and industry.

• 1

  Python for Data Analysis and Visualisation

  Technische Universität Berlin

  Berlin · Certificate · English

• 2

  Applied Artificial Intelligence (MAAI) – MSc

  Heilbronn University of Applied Sciences

  Heilbronn · Master of Science · English

• 3

  Business Intelligence and Data Analytics

  University of Applied Sciences Emden/Leer

  Emden · Master of Engineering · English

• 4

  Industrial Artificial Intelligence

  Albstadt-Sigmaringen University

  Albstadt · Master of Science · English

• 5

  Data Analytics (MSc)

  University of Hildesheim

  Hildesheim · Master of Science · English