Data Science and Technology (DST) Sports Data Science track (SDS)

Academic year 2022-2023

Programme mentors: dr. Nicola Strisciuglio (and dr.ir. Maurice van Keulen)

Note. If you are combining Computer Science with another programme at the UT, after approval from your programme mentor, you have to send in a separate request for approval to the Examination Board CS (See EER, Article A3.6). For questions contact the master coordinator.

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You cannot pick both NLP and Foundations of IR as advanced course. You can take both, but one will need to be part of the electives in your profiling space.

You cannot pick both NLP and Foundations of IR as advanced course. You can take both, but one will need to be part of the electives in your profiling space.

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Profiling space: Data science students opting for Sports Data Science, need to complete at least 27 additional credits of mandatory profiling courses on Human Movement Science, to have it mentioned on their degree supplement.

For the remainder of credits students can further specializae in one or more of the following data science profiles:

  • a) specialist in specific kinds of data, such as natural language text, image data, geographic data, sensor data, networked data, 
  • b) designer of smart services, 
  • c) designer of data science algorithms, 
  • d) multi-disciplinary researcher.
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