During your Master’s in Computer Science, you will earn a total of 120 EC within two years. In addition to the mandatory course Computer Ethics, you will take four mandatory specialisation courses, advanced specialisation coursers, and elective courses. As part of the electives, you can also do an optional internship, take courses from other specialisations and programmes, or study abroad. You will complete your Master's by writing your master’s thesis.
STRUCTURE
Year 1 and 2 | Number | |
---|---|---|
Mandatory course | 5 EC | |
Core specialisation courses | 20 EC | |
Mantle courses | 20 EC | Choose 4 courses: |
Orientation | 10 EC |
|
Elective courses | 25 EC | Examples of elective courses are:
|
Individual final year project | 40 EC |
|
Total EC | 120 EC |
INTERNSHIP
In the second year of your Master’s in Computer Science, you can choose to do an internship. This way, you can apply the knowledge and skills you have acquired during your studies at a financial institution, a high-tech company, a government agency, a healthcare company, or a start-up founded by alumni of the specialisation such as Egeniq. The EEMCS faculty at the University of Twente has connections with a large number of research institutes, corporations, and start-ups where you can do your internship project.
Previous students have done internships at:
- High-tech companies such as Aicas creating embedded IoT and edge-to-cloud solutions
- High-tech organisations such as Thales Netherlands B.V. that design and produce electronics for defence and security applications
- IT services and IT consulting companies such as Puur ICT
MASTER'S THESIS
You will complete your Master’s by writing your master’s thesis. You can either do an external master’s thesis at a company or at another higher education institute or conduct research at the University of Twente within the research group Formal Methods and Tools (FMT). There are various topics in which you can delve depending on your interests and career ambitions. You can, for example, verify the robustness of a deep neural network that can be used to classify new images of stop signs for autonomous vehicles and collision avoidance systems. What about developing an IoT-based solution to protect medical data from unauthorised access?