MBA-DATA SCIENCES
MASTER'S IN BUSINESS ADMINISTRATION - INTERNATIONAL
ENTREPRENEURSHIP & BUSINESS DEVELOPMENT - LEVEL 7 EQF
Specialization
DATA SCIENCES
Location
Lyon, France | Remote | Hybride
Language
English or French
Pedagogical methods
Theoretical courses, tutorials
and practical work
Case studies and professional
scenarios
Individual and group projects
Target group
Students - people seeking employment - employees and professionals in the sector
Level
7 EQF (European Qualifications Framework)
Credits
120 ECTS
Sessions
Spring (March), Summer (July), Fall (October)
Admission requirements
- Level 6 EQF qualification or a qualification equivalent to the attainment of 180 ECTS
Course Structure
Full-time or work-study

Overview
The MBA in Data Science is a cutting-edge program designed for professionals who aim to lead data-driven transformation in business environments. It bridges the gap between advanced data analytics and strategic business decision-making, offering a unique blend of technical expertise and managerial skills.
Throughout this program, students develop a deep understanding of data science tools, machine learning models, and AI applications, while mastering business intelligence, strategic thinking, and leadership. The curriculum focuses on real-world projects, innovation, and ethical data use, preparing graduates for leadership roles in the digital economy.
Ideal for professionals with a background in business, tech, or engineering, this MBA equips future leaders to harness data as a powerful tool for innovation, growth, and competitive advantage..
Career Opportunities
Graduates of the MBA in Data Science can pursue high-level roles such as:
- Chief Data Officer (CDO)
- Head of Data / Analytics
- Data Science Manager
- AI Strategy Consultant
- Business Intelligence Director
- Data-Driven Product Manager
- Machine Learning Project Lead
- Digital Transformation Officer
- Tech Entrepreneur / Startup Founder
- Strategy or Operations Consultant with a data focus
Learning Outcomes
Upon completion of the program, graduates will be able to:
- Translate complex data insights into actionable business strategies
- Apply machine learning and AI models to solve business problems
- Lead data science and analytics teams with strategic vision
- Communicate data findings clearly to stakeholders and executives
- Understand the ethical, legal, and privacy implications of data use
- Build scalable data infrastructures and pipelines (in collaboration with tech teams)
- Drive digital transformation and innovation using data as a core asset
- Evaluate investments in AI and data technologies from a business perspective
Programs :
Core Modules
- Data Science for Business Decision-Making
- Advanced Analytics & Machine Learning
- Big Data Technologies & Cloud Platforms
- Business Intelligence & Data Visualization (Power BI, Tableau)
- Strategic Management in the Age of AI
- Digital Transformation & Innovation Leadership
- Data Governance, Ethics & Compliance
- Applied Statistics for Executives
Specialization Tracks (Choose One)
- AI & Machine Learning in Business
- FinTech & Financial Data Science
- Marketing & Customer Analytics
- Healthcare & Bioinformatics
- Supply Chain & Operations Analytics
Experiential Learning
- Real-World Business Case Studies
- Data-Driven Consulting Projects
- Executive Seminars & Masterclasses
- Company Visits / Networking Events
- Hackathons / Data Challenges
Final Project or Thesis
- Capstone Project: Solve a business problem using data science
- Option: Launch a data-driven startup or pilot a data strategy in your company
- Optional: Internship or applied research with a partner organization