During your Master’s in Electrical Engineering, you will earn 120 EC within two years. In addition to the two compulsory courses for all master’s students in Electrical Engineering, you will take four mandatory specialisation courses to develop expertise in biomedical engineering. You will also take elective courses to deepen your knowledge or broaden your expertise by exploring related disciplines. In your second year, you will do an internship and conduct research for your master’s thesis.
Structure
Year 1 | Number of EC | |
---|---|---|
Philosophical and societal courses | 5 EC | |
Mandatory specialisation courses | 20 EC | |
Electives and homologation courses | 35 EC | Suggested elective courses:
|
Year 2 | Number of EC | |
Internship | 20 EC | In the second year, you will do an internship preparing you for the professional field. |
Master’s thesis | 40 EC | In the final three quarters, you will join a research group to complete your master’s thesis. |
Total EC | 120 EC |
Internship
In the second year of your Master’s in Electrical Engineering, you will do an internship. That way, you can apply the knowledge and skills you have acquired during your studies at a company that designs and manufactures medical devices, biotechnology company, rehabilitation centre, or medical equipment manufacturer. The EEMCS faculty at the University of Twente has connections with numerous research institutes and healthcare-related organisations where you can do your internship.
Previous students have done internships at:
- Stimulation device companies, such as Medtronic and Boston Scientific
- Big data analytics and eHealth companies, such as Innovation Sprint
- TMSi and other companies that develop equipment for physiological signal recording
Master's thesis
You will complete your Master’s by writing your master’s thesis. You can conduct research within the research group Biomedical Signals and Systems (BSS) or do an external master’s thesis at a company. The BSS group offers a wide range of research projects, such as combining radio and motion sensor data to measure how people walk to aid medical rehabilitation, diagnosis, or treatment of diseases. Another possible assignment is using computational modelling to study Parkinson’s pathophysiology and how techniques, such as DBS, tACS, and cueing, affect it.