Within the two-year programme of Sports Data Science (120 EC), you follow different sets of courses, related to both data science and sports and human movement sciences. These are divided into basic and advanced courses. During graduation, you perform a preliminary research exploration, literature study and final project in the domain of Sports Data Science. An overview of all courses can be found below.
In addition to the courses below, you must also comply to the overall programme requirements of Computer Science by taking Computer Ethics, a preliminary research exploration and literature study which is part of the graduation project, called Research Topics and the Final Project (in the domain of Sports Data Science).
CORE COURSES DATA SCIENCE
The following courses are mandatory and related to Data Science:
CORE COURSES SPORTS AND HUMAN MOVEMENT SCIENCES
The following courses are mandatory and related to sports and human movement sciences:
- Anatomy (3EC)
- Training and Performance (physiology part) (6EC)
- Measurement of physical quantities (6EC)
- Applied Biomechanics (6EC)
- Concepts in Human Movement Sciences (6EC)
Optional: Electromyography (3EC)
ADVANCED COURSES DATA SCIENCE
At least four courses should be chosen out of the following advanced courses:
- Machine Learning 2
- Image Processing and Computer Vision
- Deep Learning - From Theory to Practice
- Foundations of Information Retrieval or Natural Language Processing
- Advanced Techniques for Signal Analysis (SDS only)
- Time Series Analysis (SDS only)
- Sports Interaction Technology: Designing Interactive Systems for Sports (SDS only)