Artificial intelligence is a rapidly growing field that is changing the way we live and work. As a result, there is a growing demand for professionals with experience in robotics and artificial intelligence in various industries.

The Master degree program in Artificial Intelligence and Robotics provides students with the opportunity to develop advanced skills and knowledge in these exciting fields. By combining theoretical and practical courses with our new learning design, students will gain an in-depth understanding of the concepts, algorithms, and applications of robotics and artificial intelligence. They also learn to design, implement and evaluate complex robotic systems and artificial intelligence algorithms.

Graduates of the program are equipped to pursue careers in a variety of industries, including manufacturing, healthcare, transportation, and entertainment. They are also ready to pursue research and academic opportunities in robotics and artificial intelligence.

As a graduate, you will:

• ...be able to apply theory-grounded and science-based content and methods for the innovative, effective and sustainable design or development of technologies for AI and robotics systems.
• …have gained scientifically-based experience (content, methods, assignments) to develop and apply skills in data collection, analysis, and evaluation for AI and robotics systems.
• …have gained scientific experience to create novel solutions of AI / robotics technologies in response to current and future challenges of emerging technologies.
• …be able to work effectively, also in diverse teams, and continuously develop your own expertise and learning.
• …demonstrate an awareness of sustainability and democratic citizenship, and reflect and relate your own actions and research to social and ethical contexts.

Study Program concept:

Our innovative teaching and learning approach, rooted in extensive research, emphasizes active engagement and reflective practices. Rather than memorization-based learning, our approach entails undertaking learning-oriented assignments throughout the semester, and receiving personalized feedback from faculty on your progress.

The scientific core of your studies will be the essential content of your program. In the case of M.Sc. AI & Robotics, the following six base modules serve as your scientific core:

1. Artificial Intelligence
2. Mobile Robot Navigation
3. Machine Learning
4. Computer Vision
5. Deep Learning
6. Data Engineering