Program Overview

Master in Digital Sciences and Sports

The digital revolution in sports requires interdisciplinary specialists with skills at the interface of sports science, computer science, data science, electronics, humanities, and social sciences.

Objectives of the Program

The Master's program in Digital Sciences and Sports proposes a research-based and innovative formation to train professionals capable of:

• Understanding the challenges of digital transformation in sports in all its dimensions (sports performance, sports health, sports for all).
• Developing a coherent vision of the main scientific and technical issues related to the integration of new technologies in the field of sports and physical activity, their uses, and the structural changes and innovations they bring.
• Mastering the concepts, methods, tools, and technological expertise that support current developments in the field.

Program Structure

The Master's program in Digital Sciences and Sports is distinguished by its modular character, which allows students to personalize their course according to their professional project and chosen career profile. The program is organized into a major and a minor over the first three semesters, with the last semester dedicated to a final internship.

Major (90 ECTS)

The major includes compulsory modules corresponding to the fundamentals of the training and specialization modules to be chosen according to the targeted career profile.

Minor (30 ECTS)

The minor offers students the opportunity to continue specializing or broaden their skills beyond the chosen career profile. It also includes a project module that trains students early in research, interdisciplinarity, and collaborative work.

Competences and Profiles

The program is based on a competency approach, with four interdisciplinary profiles established according to the targeted careers:

• Metrology of Human Movement and Innovative Sensors: This profile targets careers related to the capture of human movement, particularly those that develop new generations of sensors capable of responding to the constraints of sports and physical activity.
• Analysis, Modeling, and Simulation of Human Movement: This profile concerns students who wish to analyze, model, and simulate human movement for the purpose of understanding and optimizing performance.
• Data Science Applied to Sports: This profile aims to exploit digital data in sports through mathematical and statistical methodologies of data science to extract performance and injury risk indicators.
• Digital Interaction Solutions for Sports: This profile exploits the latest scientific and technical methodologies of computer science coupled with the underlying processes of performance to propose new generations of analysis and training tools for movement in sports.

Internships

Students must complete two mandatory internship periods in a laboratory or company during their training. The program's scientific and socio-economic network can help students find an internship.

First Internship

The first internship, lasting 5 to 6 weeks, takes place in the second semester of the first year.

Second Internship

The second internship, lasting 4 to 6 months, occurs in the second semester of the second year.

Examples of Internships

Examples of internships completed within the framework of the DIGISPORT formation include:

• Monitoring and modeling of performance in swimming.
• Analysis of game situations in football for classification and evaluation of the player's perception.
• Development of a pressure sensor on a flexible substrate for recognizing an athlete's movements.
• Evolution of VFC during cycling events: determining the typology of the athlete's state of form/fatigue.
• Management by adapted physical activity via a digital tool.
• Jeu de Paume in Virtual Reality.