BSc Data Science & AI for Sports
Introduction
BSc Data Science & AI for Sports is a 14.9.2026 Bachelor program taught at FHNW - Fachhochschule Nordwestschweiz, Switzerland. The program is offered in campus-based modes with part-time (6-8 Semester) options.
The BSc in Data Science & AI for Sports at the University of Applied Sciences Solothurn Northwestern Switzerland equips students with essential skills to harness the power of data in the sports industry. This program combines rigorous theoretical foundations in data science and artificial intelligence with practical applications tailored specifically for sports analytics. Students will delve into areas such as machine learning, big data processing, and statistical analysis, allowing them to extract meaningful insights from complex datasets.
The course is structured to include a blend of lectures, hands-on projects, and collaborative workshops. Through these methodologies, learners will acquire skills in programming languages such as Python and R, data visualization techniques, and the evaluation of AI models. Additionally, students will gain exposure to real-world sports scenarios, making the knowledge gained directly relevant and applicable to today's sports environment.
One of the great advantages of studying this program in Switzerland is the country's strong emphasis on innovation, sports culture, and technology integration. The university's ideal location encourages networking opportunities with local sports organizations and tech companies, providing students unparalleled access to industry professionals and potential career pathways.
Admission Requirements
The minimum requirements for admission in BSc Data Science & AI for Sports at FHNW - Fachhochschule Nordwestschweiz for all applicants (Domestic or International) are:
- program specific academic requirment set by FHNW - Fachhochschule Nordwestschweiz.
- English Language OR any other language requirments as set by FHNW - Fachhochschule Nordwestschweiz as pre-requiste for admission in BSc Data Science & AI for Sports.
Note: Please check the university website in the link below.
To apply for the BSc in Data Science & AI for Sports, prospective students should have completed their secondary education with a strong focus on mathematics and sciences. A foundational knowledge in programming and statistics is beneficial. Recommended qualifications include a high school diploma or equivalent with good academic performance. Candidates may also be expected to provide a personal statement outlining their interest in the course and relevant skills or experiences.
International applicants must demonstrate proficiency in English. Typically, this can be proven through standardized tests such as IELTS or TOEFL, where an IELTS score of 6.5 or equivalent is often expected. It's important to check specific requirements directly with the university, as they may vary.
Courses Units
Please check detail of study units at https://www.fhnw.ch/de/studium/angebot/studiengaenge
More Information
- Data Scientist in Sports Analytics
- Sports Performance Analyst
- AI Engineer for Sports Applications
- Business Intelligence Analyst for Sports Organizations
- Sports Technology Consultant
Scholarships
31 fully funded scholarships are listed for Switzerland. See Switzerland scholarships.