Sports Data Science

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Do you want to contribute to innovative data science solutions that enhance athletes' sports performance and make a positive impact on people’s health?

Nowadays, wireless sensors can measure any type of human movement and exercise pattern. Are you fascinated by investigating and improving human movement and athletes’ performance by using this vast amount of data? Then you can opt for the Sports Data Science study plan which is part of the specialisation in Data Science & Technology. You will learn to design new models, algorithms, and techniques and interpret complex relationships, so you can identify players at a high risk of injury or help improve team performance.

As a student at the University of Twente, you will have access to our state-of-the-art eSportslab in the DesignLab and work on exciting real-world cases. For example, you can collaborate with data scientists from the football team FC Twente on developing game strategies based on players’ movement data and shooting accuracy, among other performance metrics. What about analysing a cyclist’s training and racing history data as well as heart rate and blood oxygen data to develop a tailored food plan to help them maintain their endurance during training or racing? What’s more, by analysing an athlete’s historical injury data and collecting more data from wearable sensors, you can help sports medicine physicians determine when it is safe for the athlete to return to training.

The mandatory courses will equip you with the necessary knowledge and skills in anatomy, physiology, electromyography, applied biomechanics, big data management, real-time analytics, machine learning, and image processing.


Year 1 and 2

of EC

Mandatory course
For all Master’s in Computer Science students.

5 EC

Core specialisation courses
For all students in Data Science & Technology.

20 EC

Advanced specialisation courses in the Sports Data Science
You should choose four of the advanced specialisation courses to deepen your expertise on a topic of your interest within the specialisation.

20 EC

Examples of advanced specialisation courses are:

Profiling space
You need to take five mandatory courses on Human Movement Sciences. You can also do an internship or participate in an exchange programme. You will compose your profiling space in consultation with your mentor.

27 EC

Mandatory courses

Optional course

Individual final year project

40 EC

  • Research Topics (10 EC)
  • Final project (30 EC)

Total EC

120 EC


Do you want more information about the programme's structure, the application procedure or your eligibility? Please contact programme mentor dr. Nicola Strisciuglio. 

dr. N. Strisciuglio (Nicola)
Assistant Professor
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