Sport Science MA, Performance Analysis and Data Analytics, 7.5 credits

Aim

This course aims to provide students with the skills required for advanced data analyses in elite sports as well as provide the fundamentals of sports analytics. Following this course students will have the knowledge to generate data informed insights in various sports disciplines with a primary focus on performance and injury risk.

Course objectives

Upon completion of the course the student should be able to:

- apply basic data analysis and analytics to practical performance situations.
- apply advanced data analysis, analytics and programming methods.
- explain the basics of signal processing and its importance for generating performance insights.
- develop athlete monitoring databases from performance data.
- generate appropriate data visualision for interpretation and reporting of performance data to coaches and athletes.
- outline the basics of notational analysis and its importance within the high-performance environment.

Content

Basics of sports analytics

Advanced data analysis / programming basics

Signal processing

Athlete monitoring database

Data reduction

Data visualization

Notational analysis

Entry requirements

A Bachelor degree with at least 180 credits, including a degree project of at least 15 credits, in Sports Science, Sports Medicine or Physiotherapy.

OR

A Bachelor degree consisting of at least 180 credits, including a degree project of at least 15 credits, and a minimum of 60 credits in one or more of the following subjects: clinical epidemiology, exercise physiology, testing methods in sports science, kinesiology, biomechanics, coaching and leadership, sports psychology, sports nutrition, sports medicine, training sciences.

AND

English level 2/English course 6 from Swedish Upper Secondary School or equivalent.

Selection rules and procedures

The selection process is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

A range of teaching methods will be used, e.g., lectures, seminars, discussions, online practical labs and individual reflection. The course is delivered online and entirely in English. Compulsory seminars, presentations and independent project will also form part of the assessment.

Examination form

1001: Module 1 - Individual written project work , 2.5 Credits
Grade scale: Three-grade scale
Individual written project work - independent development of a data analysis related case within a sport of choice.

1002: Module 2 - Online practicals , 2.5 Credits
Grade scale: Two-grade scale
Active participation and demonstrable practical competence in all digital laboratory and seminar activities.

1103: Module 3 - Individual data analysis and written report, 2.5 Credits
Grade scale: Three-grade scale

Link to grading criteria: https://www.miun.se/gradingcriteria

The examiner has the right to offer alternative examination arrangements to students who have been granted the right to special support by Mid Sweden University’s disabilities adviser.

Grading system

Three-grade scale

Other information

Course certificate, credit transer, appeal, etc are regulated by the Higher Education Ordinance.