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 opt to do an internship, take courses to specialise in one of the four profiles, or study abroad. You will complete your Master's by writing your master’s thesis. If you choose to follow the Sports Data Science study plan, your advanced courses and profiling space will be centred around human movement, biometrics, and sports data.
Year 1 and 2
Core specialisation courses
Advanced specialisation courses
Some examples of advanced specialisation courses are:
Some examples of how you can fill up your profiling space:
Individual final year project
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 science department of an international research institute, an insurance company, a government agency, a healthcare company, or a robotics company in the Netherlands or abroad. 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:
- Software companies such as Egeniq, 20face, Datacadabra B.V, Virtuagym, DynaLynx, Ecare, Extendas
- Research institutes and universities such as the Commonwealth Scientific and Industrial Research Organisation (CSIRO), TNO, Fraunhofer Institute, KTH Royal Institute of Technology
- Wearable technology companies such as Xsens Technologies B.V.
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 within one of the EEMCS research groups, especially at Data Management and Biometrics (DMB), Formal Methods and Tools (FMT), or Semantics, Cybersecurity, and Services (SCS). You can, for example, develop an algorithm that analyses and characterises images and videos of cardiac muscle tissues. What about creating a complete medical history of a patient to make nurses and doctors’ work more efficient? If you follow the Sports Data Science study plan, you can collaborate with data scientists from the football team FC Twente and analyse players’ health data, such as heart rate and training load, to identify injury risks.