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
- Practice-integrated bachelor's degree program (PiBS), Full-time and Part-time/work-study
- ECTS credits
- 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.
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
Rehabilitation Data Analyst
Business Strategy Analyst
Sport Data Engineer
Data-Driven Sports Journalist
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.
Requirements and Organisational matters
Language
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.
Requirements and Organisational matters
Further Computer Science Degree Programmes
Discover our fascinating further degree programmes in Computer Science in german
Weiterbildungen
Apply now and secure your place! Is your final certificate still pending? No problem – you can still apply and submit it in the summer.
Our recommendation: complete your application for the spring semester by 15 January and for the autumn semester by 31 May.
Data Science & AI for SportsAutumn Semester 2026
- Date
- 14.9.2026–19.12.2026
- Duration
- 6 Semesters
- Place
- FHNW Campus Brugg-Windisch
- Final application date
- 14.9.2026
Contact us
For further information about studying at the FHNW School of Computer Science, please contact us.
Prof. Dr. Rocco Custer
- Phone
- +41 56 202 86 45 (Direct)
- rocco.custer@fhnw.ch
Myriame Fischer
- Phone
- +41 56 202 76 35 (Direct)
- ds-ai.informatik@fhnw.ch
Study Administration and Advisory
- Phone
- +41 56 202 99 33 (Direct)
- start.informatik@fhnw.ch
Info-Events
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