Applied Artificial Intelligence (MAAI) – MSc

This Master of Science programme launches in the summer semester of 2026 and is aimed at graduates of a Bachelor's in Applied Artificial Intelligence as well as those coming from closely related undergraduate fields. The course is open to both domestic and international students and is delivered in English, making it accessible to a global cohort.

The curriculum is split into two distinct tracks — Application and Research — so you can pursue a hands-on, industry-oriented route focused on developing AI systems, or opt for a research-intensive path that allows deeper engagement with current AI science. Together, the tracks balance practical training in application development with opportunities to work on advanced AI research projects.

The programme’s goal is to train highly qualified specialists who can both apply and advance AI technologies across many sectors. You will develop expertise in machine learning, data analysis, and artificial neural networks, and learn how to apply AI methods in areas such as healthcare, engineering, logistics, business informatics, and software engineering — preparing you for a wide range of professional roles where AI is driving innovation.

Requirements (concise)

• Bachelor’s degree in Applied Artificial Intelligence or a related field
• Open to applicants from Germany and abroad
• Programme language: English
• Start: Summer semester 2026
• Two study tracks available: Application and Research

This master’s curriculum is tightly integrated with both regional and global AI research activities and with the university’s technology transfer initiatives. Through the emerging Innovation Park for Artificial Intelligence (IPAI), the programme is embedded in an international campus environment that brings together companies, academic teams, and public institutions to co-develop and evaluate advanced AI solutions. As a result, students study at the intersection of cutting‑edge research and practical application.

Within this AI hub, the course gives students direct, hands‑on exposure to the newest developments in artificial intelligence. Teaching is complemented by access to real‑world laboratories and applied testbeds, enabling learners to work on problem-driven projects and to see how research outcomes are moved into industry and public-sector use. The curriculum therefore emphasizes practical experience, collaborative development, and technology transfer alongside theoretical foundations.

Key modules and components

• Research‑linked coursework that reflects current regional and international AI research priorities
• Technology‑transfer oriented modules covering how AI innovations are translated into commercial or public‑sector applications
• Hands‑on laboratory courses and real‑world testbeds for developing and evaluating AI solutions
• Cross‑sector collaborative projects involving industry, academia, and public partners

Typical learning outcomes

• Ability to apply contemporary AI methods and tools to real‑world problems and experimental setups
• Skills in developing, testing, and refining AI solutions within applied laboratory environments
• Experience in translating research results into practical, industry‑relevant technologies and processes
• Capacity to work effectively in interdisciplinary and cross‑sector teams, bridging academic research and technology transfer

Graduates can pursue technical and applied roles such as machine learning engineer, data scientist, AI developer, or specialist in AI-enabled software systems across sectors including healthcare, engineering, logistics, business informatics and software engineering. The programme’s strong industry links and hands-on projects at the IPAI help students build practical experience valued by employers.

For those aiming at research careers, the Research track and the university’s combined master’s-to-PhD opportunities provide a pathway into doctoral studies and R&D positions in academia or industrial research centres.