Become part of a new university – and study
Artificial Intelligence & Robotics (M.Sc.)
Human and Artificial Intelligence (M.Sc. / M.A.)
More information about the application
Why YOU should study at UTN:
In our Learning Design you are the actor.
With us, you do not write traditional exams.
You will have no lectures.
During your studies, you combine theory and practice.
We are interdisciplinary, international and digital.
Shape the university of the future with us!
What our experts say
Actively shape your courses and experience our unique interdisciplinary approach. Discover exciting areas such as computer vision, machine learning and robotics and start a promising career in industry and research. Immerse yourself in a dynamic, flexible environment where you can have a lasting impact on society.
Prof. Dr. Isa Jahnke, Founding Vice President for Academic and International Affairs
Prof. Dr. Wolfram Burgard, Founding Chair Department Engineering
Dr. Tanja Kaiser, Senior Researcher Artificial Intelligence and Robotics Lab
Sophia Regopoulos, Doctoral Researcher Classics Lab
Yannik Blei, Doctoral Researcher AI and Robotics Lab
The most important facts at a glance
| Degree program | Master of Science Artificial Intelligence & Robotics Human and Artificial Intelligence (M.Sc. / M.A.) |
| Required course work | 4 semesters (full-time studies with 120 ECTS) |
| Location | Nuremberg |
| Language | English |
| Application period | Third countries: March until and including May 31 OR June 14, 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 – March 31, 2026 |
| Course period | Expected from October 13, 2025 – February 7, 2026 |
| Welcome Week for new students | October 6 – 10, 2025 |
“The first semester at UTN was a challenging, exciting and educational experience. I came to UTN to be part of an extraordinary project. After all, it is quite rare these days for new universities to be founded. The first semester contains important foundations for studying and later working life. The project work and assignments during the semester provide a lot of practical relevance that I missed at other universities. I’m looking forward to the tasks of the new semester!”
Luca Heller, UTN student Ai and Robotics M.Sc.
“UTN follows an excellent teaching learning concept, which I feel is one of the best ways to learn that I have never experienced in my previous studies. In addition the small study groups enhances the learning as we get to interact more with the instructors and professors.”
Suman Navaratnarajah, UTN student Ai and Robotics M.Sc.