Become part of a new university – and study
Artificial Intelligence & Robotics (M.Sc.)!
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!
The most important facts at a glance
| 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 |
Are you interested in the Master’s degree program in Artificial Intelligence and Robotics? Then visit our online info sessions!
Our online info sessions will give you an overview of the course, application and the Department of Engineering. You will also have the opportunity to ask questions.
Friday, April 12, 2 p.m.
Wednesday, June 12, 2 p.m.
We also offer open consultation hours via Zoom every two weeks.
Tuesday, April 23, 2 p.m.
Monday, May 06, 4 p.m.
Tuesday, May 21, 8 a.m.
Thursday, June 06, 3 p.m.
Friday, June 21, 1 p.m.
Tuesday, June 25, 2 p.m.
You are welcome to contact us at any time with any questions or to arrange an individual appointment if required.
Please contact us at stars@utn.de.
Please note: The times are given in Central European Time (CET).
“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.