The TU/e offers an exit-point program with a specialisation in Process Mining. The following table summarises the programme (for more information about the courses, visit OSIRIS Student Mobile (osiris-student.nl)):
Innovation & entrepreneurship module
| Quarter | Code | Course | Credits |
| 1 | 2AMI10 | Foundations of process mining1 | 5 |
| 1 | 2IMS25 | Principles of data protection | 5 |
| 1 | 1ZS30 | Innovation and entrepreneurship study | 6 |
| 2 | 2AMI20 | Advanced process mining | 5 |
| 2 | 2IMI00 | Seminar architecture of information systems2 | 5 |
| 2 | 2IMD00 | Seminar databases2 | 5 |
| 2 | 2IMM00 | Seminar data mining2 | 5 |
| 2 | 2IMV20 | Visualisation | 5 |
| 3-4 | 2IMC00 | Master project3 | 30 |
1 Students who took the course 2IIE0 or 2IIF0 in their bachelor are not allowed to take 2IMI15 Introduction to process mining because of overlap and should take 2IMA10 Advanced algorithms instead.
2One of these three seminars has to be chosen.
3The student is allowed to start with the graduation project only after the Masters study program has been approved by the Examinations Committee. See Section 3.4 for further details on admission, planning and assessment of the Master project.
Special track mentor: dr. Renata Medeiros de Carvalho (r.medeiros.de.carvalho@tue.nl )