MSc in AI & Robotics
Nuremberg, Germany
DURATION
4 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
31 May 2025
EARLIEST START DATE
Oct 2025
TUITION FEES
EUR 72 / per semester *
STUDY FORMAT
On-Campus
* semester fee for the winter semester 2024/25
Introduction
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: Artificial Intelligence & Robotics (M.Sc.)
- Required course work: 4 semesters (full-time studies, approx. 40 hours per week, with 120 ECTS)
- Location: Nuremberg
- Language: English
- Application period: Third countries: March 1 until and including May 31, 2025
EU/EEA/DE: March 1 until and including June 30, 2025
- Enrollment period: April 1 until and including September 30, 2025
- Semester period: October 1, 2025 until March 31, 2026
- Course period: Expected from October 13, 2025 – February 7, 2026
- Welcome Week for new students: October 6 – 10, 2025
Gallery
Admissions
Curriculum
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
1st Semester
4 Mandatory Modules
1 Key Competencies Module
2nd Semester
2 Mandatory Modules
1 Key Competencies Module
1 Interdisciplinary Module
3rd Semester
3 Advanced Modules
1 Interdisciplinary Module
4th Semester
1 Key Competencies Module
1 Master Thesis
Program Outcome
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.
Program delivery
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.