Mathematical Modelling of Football
Course, Master's level, 1RT001
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, Flexible, 33%, Distance learning, English
- Location
- Flexible
- Pace of study
- 33%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 1 September 2025–2 November 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including Probability and Statistics, Linear Algebra, Single Variable Calculus and a course in introductory programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Students are selected based on a total appraisal of quantity and quality of previous university studies.
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2025
- Application code
- UU-11813
Admitted or on the waiting list?
- Registration period
- 25 July 2025–7 September 2025
- Information on registration from the department
About the course
This course gives the required set of tools to work as a data scientist within a professional football club, national body or the media. It covers the technical knowledge anyone working in this area should have to contribute to a football organisation:
- statistical methods and visualisation
- data sources and relevant cloud computing
- standards for handling and storing data
- classification and regression
- expected goals and action value models
- logistic regression
- neural networks and other machine learning methods applied to football
- basic analysis methods for tracking data
- simulation methods; and
- pitch control.
The examples in the course are primarily from football, with a focus on practical applications found within footballing organisations, focusing on creating key performance indexes for players and teams. It shows how data and models can be used to communicate with coaches, scouts, sporting directors, players and fans.
Outline for distance course: This is a web-based course, completely without physical meetings (including the examination). Reading instructions and other communication are handled through the course home page and email. Internet access is a requirement for this course. The teaching language is English, which is required for all the individual work. Contact with the teacher can be made in Swedish.