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MBA-DATA SCIENCES

MASTER'S IN BUSINESS ADMINISTRATION - INTERNATIONAL
ENTREPRENEURSHIP & BUSINESS DEVELOPMENT - LEVEL 7 EQF 

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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

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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..

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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