Degree structure

The core courses are designed to cover six relevant core topics for AI&ES engineers: Data science, Human interaction and ethics, Programming, Engineering systems, Learning in AI, Mathematics.

Students of the master program AI&ES choose a specialization track in the first quarter of the program. Each track has unique specialization courses that bridge AI and engineering systems. The courses are grouped according to one of the 4 themes:

1. Domain-specific knowledge 
2. AI in Engineered Systems 
3. Data Cultivation 
4. Learning and Intelligence 

The Team Internship is a challenge-based and interdisciplinary project. Students work in small teams on realistic and open-ended problems connected to industrial applications. The final product of the team project is either a design, demonstrator, prototype, or a simulated scenario.

Students of the master program AI&ES choose free elective courses worth a total of 15 ECTS. For students with deficiencies, the free elective courses may serve the purpose of homologation.

For students who do not have deficiencies, the choice of electives is only subject to the boundaries of the general criteria prescribed by the Graduate School:

1. core courses AI&ES (other than the ones chosen in the program of examinations)
2. additional specialization courses from the same or other AI&ES tracks
3. courses from any TU/e master program
4. courses from master programs from other universities (Dutch and abroad)
5. courses necessary for homologation
6. language course (Dutch or English, both as a foreign language) at C level

The AI&ES Graduation project is an individual research project on a topic related to AI in the context of engineering systems.

Please explore the Education guide AI&ES for complete information regarding curriculum, admission requirements, internship opportunities, student guidance, international experience.