The Department of Computing Science brings together its AI expertise in the following professorships:

• Prof. Dr. Oliver Kramer (Computational Intelligence) [Contact person for the certificate]
• Prof. Dr. Chih-Hong Cheng (Safety and Explainability of Learning Systems)
• Prof. Dr. Daniel Sonntag (Applied Artificial Intelligence, DFKI)

Study requirements

To successfully complete the specialization in Artificial Intelligence, the following requirements must be met:

• 30 credit points (CP) from modules clearly related to AI (see list)
• 24 CP from a project group (PG) in the field of AI
• 30 CP from a master’s thesis with a topic related to AI

AI Modules for the Certificate

• Computational Intelligence I (inf535)
• Intelligent Systems (inf537)
• Applied Deep Learning (inf5408)
• Deep Unsupervised Learning (inf5400)
• Designing Explainable Artificial Intelligence (inf1212)
• Introduction to Data Science (inf040)
• Forecasting Methods (wir875)
• Robotics II (inf332)
• Agent-based Control in Energy Systems (inf516)

Additional modules with a clear connection to AI may be recognized upon request and with sufficient justification.

Certificate

After successfully completing all requirements, the certificate for the Specialization in Artificial Intelligence can be requested by email from Prof. Dr. Oliver Kramer or the office of the Computational Intelligence Lab.

The Specialization in Artificial Intelligence (AI) within the Master’s programs in Computer Science and Business Information Systems provides comprehensive knowledge of the foundations, methods, and applications of intelligent systems. It covers modern AI techniques ranging from classical learning algorithms to deep learning, generative, and explainable AI. In practice-oriented lectures and projects, students learn to independently develop, evaluate, and apply AI models responsibly. Graduates acquire highly sought-after skills for careers in research, development, and industry, particularly in fields such as robotics, medicine, energy, and autonomous systems.