Data Science & AI for Sports

School of Computer Science

Sport inspires and connects people. With your degree in Data Science & AI for Sport, you’re right at the heart of it: thanks to your analytical skills, you advise elite teams and individual athletes, helping to further develop the world of sports in a data-driven and sustainable way.

Factsheet

Degree: Bachelor of Science FHNW in Data Science & Artificial Intelligence
Study Track Data Science & AI for Sports
Study mode: Full-time, Practice-integrated bachelor's degree program (PiBS) and Part-time/work-study
ECTS points: 180
Next start: 14.9.2026
Place: FHNW Campus Brugg-Windisch

At a glance

Performance: Enabling peak athletic performance through precise data analysis.
Sports Tech: Revolutionizing wearables and tactics with AI and sensor technology.
Athlete-centered: Ideally combine your studies with your own athletic career.

The study track is part of the Data Science & Artificial Intelligence degree programme. Apply for the Bachelor’s degree in Data Science & Artificial Intelligence, and you will automatically gain access to this study track.

About the Data Science & Artificial Intelligence degree programme

Why study this?

As a graduate of the DS&AI in the study track Sport, you are the expert in sports analytics. You leverage sports data and performance metrics to help elite athletes optimise their performance or refine game strategies. You may develop training plans for amateur sports in close collaboration with sports scientists, or work with doctors and physiotherapists to revolutionise rehabilitation processes for injured individuals.

Whatever field you choose, your skills help the world of sport break new ground through data.

Possible fields of application include game analysis, training management, sports management and sports economics.

Where Your Degree Can Take You

Sports Data Analyst

Use data to enhance team performance, strategy and decision-making by analysing player performance, game tactics and opponents’ weaknesses.

Rehabilitation Data Analyst

Support physiotherapy through data analysis to optimise rehabilitation programmes for individual patients.

Business Strategy Analyst

You examine and analyse market trends, competitive landscapes and organisational performance to guide long-term strategy and decision-making for companies in the sports sector.

Sport Data Engineer

You develop and maintain the systems that manage and process the vast amounts of data used in sports analytics.

Data-Driven Sports Journalist

You use data-driven storytelling and visual information design to identify and tell the most compelling stories from the world of sport.

Structure and programme contents

This study track is fully integrated into the Data Science & AI degree programme: You acquire in-depth competencies in machine learning and data analytics while specialising directly in the sports sector. You use data to optimise performance, analyse wearable technologies and deliver strategic insights for the management of clubs and associations. Close collaboration with professionals from medicine, engineering and psychology further sharpens your interdisciplinary profile.

You design your studies with maximum flexibility: Choose between classic modules or our flexible “Open Learning” format, where you determine your place and pace of learning – always supported by our coaches.

Questions? Students provide the answers.

Do you have questions about course content, student life or study formats? Our Data Science & Artificial Intelligence students Lukas, Damian and Lukas are available to you via WhatsApp.

Chat with us on WhatsApp

Requirements and Organisational matters

Language

For programmes taught in English, the minimum English requirement for studying at the FHNW School of Computer Science is level B1. For this degree programme, however, we recommend an English level of B2.

An English placement test will be conducted before the start of the semester.

If you are placed below level B2, we recommend attending the module Specialist Coaching in English Communication.

If you would like to independently improve your English skills to reach the required level, we recommend the following resources:

Lecturers

You learn from lecturers with expertise in data science, AI and software development, who integrate their applied research and industry projects directly into teaching. Personal coaches support you throughout your academic and professional development — from the first modules to your Bachelor’s thesis.

Most modules are taught by lecturers from the Institute of Data Science, the Institute of Interactive Technologies and the Institute of Mobile and Distributed Systems at the FHNW School of Computer Science.

Mathematics modules are delivered by the Institute of Mathematics and Natural Sciences at the FHNW School of Engineering and Environment.
Context modules covering social, economic and language-related topics are attended together with students from the FHNW School of Engineering and Environment and are taught by the Institute of Humanities and Social Sciences.