MBA
Data Sciences
- Intake: January 2026
- Language: English
- Diplome: MBA
- Fee: 12,000€
Program Overview
The MBA in Data Science equips professionals with the skills, tools, and strategies to fully leverage data within organizations. The program combines in-depth theoretical knowledge with practical applications, covering key areas such as advanced statistics, Big Data, machine learning, applied artificial intelligence, data visualization, and governance.
Students engage in real-world case studies, practical projects, and interactive workshops, developing both advanced analytical skills and the ability to drive strategic, data-driven decision-making. The program also emphasizes ethics, compliance, and data governance, ensuring a responsible and sustainable approach to decision-making.
Program
Introduction to Data Science and Big Data
The module “Introduction to Data Science and Big Data” in the MBA in Data Sciences provides an in-depth approach to the essential concepts and practices in analytics and data management. Through this course, students explore the tools, methods, and applications that allow them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes both scientific rigor and practical application, integrating case studies, projects, and simulations. It prepares students to handle complex data, use specialized software, and understand ethical and regulatory challenges. In a world where data is considered the new oil, this module forms a fundamental foundation for developing expertise that meets the growing demands of businesses and contributes to innovation and competitiveness.
Advanced Statistics and Modeling
The “Advanced Statistics and Modeling” module in the MBA in Data Sciences provides an in-depth approach to the essential concepts and practices in data analytics and management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, incorporating case studies, projects, and simulations.
Programming for Data Science
The “Programming for Data Science” module in the MBA in Data Sciences provides an in-depth approach to the essential concepts and practices in data analytics and management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, incorporating case studies, projects, and simulations.
Databases and Data Warehouse Management
The “Databases and Data Warehouse Management” module in the MBA in Data Sciences provides an in-depth approach to essential concepts and practices in data analytics and management. Through this course, students explore the tools, methods, and applications that allow them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations.
Machine Learning and Artificial Intelligence
The “Machine Learning and Artificial Intelligence” module in the MBA in Data Sciences offers an in-depth exploration of essential concepts and practices in data analytics and management. Through this course, students investigate the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes scientific rigor and practical application, integrating case studies, projects, and simulations.
Machine Learning
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Artificial Intelligence Applied to Data
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Data Visualization and Communication
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Predictive Analytics and Data Mining
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Ethics, Data Law, and Data Governance
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Professional Project in Data Science
The module offers an in-depth approach to the essential concepts and practices in the field of analytics and data management. Through this course, students explore the tools, methods, and applications that enable them to extract value from data, transform massive datasets into strategic insights, and support decision-making within organizations. The module emphasizes the importance of scientific rigor and practical application, integrating case studies, projects, and simulations.
Intake and Study Pace
We offer a new intake every 8 weeks, throughout the year.
To find out the exact dates of the next session, please contact our admissions team directly.
Two formats are available to suit your schedule:
- Temps plein : programme complété en 15 mois
- Temps partiel : parcours flexible sur 30 mois
Admission
- Online Application
Fill out the form and submit your application file.
- Application Review
Our academic team reviews your application and schedules an interview if needed.
- Admission & Enrollment
Receive your admission letter and finalize your enrollment.