- Degree
- Bachelor of Engineering in Artificial Intelligence and Industrial Digitalisation
- Course location
- Heilbronn
- Teaching language
- • German
• English
- Languages
- The basic studies (first and second semesters) are taught in English.
An obligatory German language course takes place in the first year (eight hours/week + intensive language classes of 40 hours/week during the semester breaks).
The main studies (the third semester to the seventh semester) are taught in German. Therefore, a successful completion of the German language course is required.
- Full-time / part-time
- • full-time
- Programme duration
- 7 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- Winter semester (September to February):
Lecture period: middle/end of September to the end of January (including winter holidays)
Examination period: end of January to early February
Summer semester (March to August):
Lecture period: mid-March to the end of June (including holidays after Pentecost)
Examination period: early July to the end of July
- Application deadline
- All application documents must be handed in by 15 September.
Thus, all required documents (e.g. language certificates, confirmation of university entrance qualification, etc.) must be completed by this time.
However, we strongly recommend to send all documents as early as possible to allow enough time for the visa process.
Please check the programme website for any updates regarding the application deadline.
- Tuition fees per semester in EUR
- Varied
- Additional information on tuition fees
- In the state of Baden-Württemberg, international students who are not nationals of a European Union (EU) state or the European Economic Area (EEA) are required to pay tuition fees of 1,500 EUR per semester.
Tuition fee waivers will be granted automatically to students from the EU and EEA, i.e. no tuition fees apply.
- Joint degree / double degree programme
- No
- Description/content
- In the course of your studies, you will gain an understanding for the future of mechanical and plant engineering. In modern production plants, intelligent systems control processes optimise workflows and enable efficient production. From smart sensors and networked machines to automated quality control, AI and digital technologies are the key to innovation and sustainable competitiveness.