One field, two formats, three professional tracks. Choose the professional master’s in 1 year or the research and pedagogy master’s in 2 years.
| Professional | Research and Pedagogy | |
|---|---|---|
| Programme code | 7M06102 AI+X | 7M06101 AI+X |
| Duration | 1 year (3 trimesters) | 2 years (6 trimesters) |
| Volume | 60 credits | 120 credits |
| Degree awarded | Master of Engineering and Technology | Master of Technical Sciences |
| Focus | Practice-oriented engineering | Scientific and engineering education, research |
| Practice | Industrial practice; experimental research work with an internship | Research practice; teaching practicum; research work with an internship |
| Final assessment | Master’s project preparation and defence | Master’s thesis preparation and defence |
| Tracks | 3 tracks (elective courses) | 3 tracks (elective courses) |
The tracks are shared by both master’s formats; your elective courses depend on the direction you choose.
AI for industry and intelligent infrastructure: predictive diagnostics, digital twins, IoT and Edge AI, optimisation of industrial and energy processes.
Engineering of AI systems: architecture, MLOps, data engineering, distributed and cloud systems, integration and deployment, security and risk analysis.
AI for unmanned aerial systems: design and programming of intelligent UAVs, computer vision, swarm intelligence and cybersecurity.
The professional activity area of graduates includes organizations involved in the development and deployment of artificial intelligence systems, data processing and analytics, and the intelligent transformation of digital and industrial systems.
Leave a request and the admissions office will help you choose a programme and an intake.
