- Degree
- Master of Science (MSc)
- Course location
- Amberg
- Teaching language
- • English
- Languages
- Courses are held 100 percent in English.
- Full-time / part-time
- • full-time
• part-time (study alongside work)
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Additional information on beginning, duration and mode of study
- Study and examination periods are typically from 1 October to 14 February (winter semester) and 15 March to 31 July (summer semester).
Most students will need a typical study time of four semesters (full-time study) or eight semesters (part-time study).
- Application deadline
- Winter semester application period
For the winter semester starting 1 October, you can apply from 15 April until 8 June.
Summer semester application period
For the summer semester starting 15 March, you can apply from 1 November until 8 December.
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Artificial Intelligence (AI) has become indispensable in the industry – whether in training cooperative robots, optimising processes or quality assurance.
The Master's programme in Artificial Intelligence for Industrial Applications gives you deep insights into how artificial intelligence works. It addresses current topics such as machine learning, natural language processing and computer vision. Solid theoretical principles and the current state of research are taught. The programme enables a practical and application-oriented education, in which you will design and prototype AI systems in practical projects in small groups. You will be taught by professors with strong research backgrounds and lecturers from the field of AI. They will provide you with the necessary knowledge to be able to work in the digital working world with a Master of Science degree.
The study programme addresses exciting future-oriented topics. In lectures you learn how to analyse data, train and evaluate AI models. Work is done in projects in teams or individually in seminars or in self study. You will work on the most up to date technologies in challenging applications. Elective course modules show different applications, mainly in smart factories. However, other domains like energy sector or medical technology are addressed as well in order to prepare for different career opportunities.
Our modern AI labs are well equipped with the latest technologies and high-performance GPU computers. Our professors and lecturers have acquired their knowledge at international universities and relevant research institutions.