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.
Key Data
| Degree program | Master of Science Artificial Intelligence & Robotics |
| Required course work | 4 semesters (full-time studies with 120 ECTS) |
| Location | Nuremberg |
| Language | English |
| Application period | March 1, 2024 until and including June 30, 2024 |
| Enrollment period | April 1 until and including October 31, 2024 |
| Semester period | October 1, 2024 – March 31, 2025 |
| Course period | Expected from October 14, 2024 – February 7, 2025 |
| Welcome Week for new students | October 8- 11, 2024 |
You want to apply? Find out more about the admission criteria here:
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:
- Artificial Intelligence
- Mobile Robot Navigation
- Machine Learning
- Computer Vision
- Deep Learning
- Data Engineering
Find more information about our unique learning design here:
Learning DesignCurriculum
1. Semester
4 Mandatory Modules
1 Key Competencies Module
2. Semester
2 Mandatory Modules
1 Key Competencies Module
1 Interdisciplinary Module
3. Semester
3 Advanced Modules
1 Key Competencies Module
4. Semester
1 Interdisciplinary Module
1 Master Thesis
The curriculum of the master program Artificial Intelligence and Robotics is a modularised study program. Students will learn about problem-solving, decision-making, and knowledge representation in AI, as well as the design and implementation of algorithms for autonomous robot navigation. They will study neural networks, training algorithms, optimization techniques, and applications in computer vision and natural language processing. Students will also learn about data analysis, statistical methods, data visualization, and data mining techniques. Through practical assignments and projects, they will gain hands-on experience in designing and implementing algorithms and systems in these fields.
The unique highlight is the learning in transformation project, an interdisciplinary scientific research project that focuses on practical learning experiences. The project aims to provide students with a scientific-based approach to solving real-world problems.
Module manual:
Read the module manual
Become part of a new university – and study
Artificial Intelligence & Robotics (M.Sc.)!
More information about the application
You can also find more information in our FAQ.
Contact
Student advisory service
If you have any queries regarding the M.Sc. Artificial Intelligence and Robotics degree program, please feel free to contact the student advisory service. We are more than happy to assist you!
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