Master in Data Science & Artificial Intelligence Strategy

This specialization is part of the Master in Innovation degree (DSMI)

Unlock the future of business with the Master in Data Science & Artificial Intelligence Strategy (DSAIS), where cutting-edge Artificial Intelligence (AI) and Data Science converge to transform your career and redefine success.
In today's fast-paced, data-driven world, staying ahead means more than just adapting—it means leading. As organizations increasingly rely on data to make smarter decisions, the demand for forward-thinking professionals who can navigate and harness these technologies is soaring. The program is your gateway to mastering these in-demand skills, with a curriculum that blends technical know-how, strategic insight, and ethical leadership.

 

By joining the program, you'll gain the power to design breakthrough AI strategies, lead game-changing business transformations, and champion the ethical use of advanced technologies. Tailored to meet the expectations of top recruiters, and backed by a global network of peers and industry experts, the program equips you to thrive in high-demand roles, positioning you as a trailblazer in the rapidly evolving world of AI and Data Science.

 

Step into a future where your expertise shapes the data-driven revolution. The time to lead is now.

 


Discover the program content for the academic year 2025-2026:

Master in DSAIS Y1
Master in DSAIS Y2.

Academic and experiential elements

The program is built over two years with a unique pedagogical design:

  • Common courses with the other specializations of the Master in Innovation over the two years: the core courses or the signature courses
  • A solid specialization logic from the first year
  • A strong international exposure with an international seminar and one international term per year, enabling you to explore global industries through the prism of your specialization
  • Emphasis on “learning by doing” with cross-field projects with partner companies and the opportunity of doing an internship or a professional experience from the end of the first year

Year 1 - First semester

📅 September to January
📍 Paris

 

Experiential elements:

  • Discovery of Paris Tech Eco system
  • Hackathon

 

Core courses:

  • Intermediate finance
  • Marketing for value creation
  • Statistics for business

 

Specialization courses:

  • Innovation Business game
  • Programming fundamentals
  • Data wrangling & Data analysis
  • Business Intelligence
  • AI history & applications

Year 1 - Second semester

📅 January to March
📍 Paris

 

Experiential elements:

  • Inspiring talks
  • Company visits

 

Core courses:

  • Strategyzing complexity
  • Operations & Decisions
  • Sustainability introduction for future business leaders

 

Specialization courses:

  • In Company Project
  • Introduction to Research Methodology
  • Data science applied to organizational decision
  • European Data Regulations
  • Agile Management
  • Tools & methods of AI for business

2-month international term

📅 March to May
📍 Europe

 

This is an opportunity for you to discover another culture and have courses in a prestigious university outside of France. You will be confronted to a new international business environment where you will learn more about Project Management and complete your technological acculturation.

Optional professional experience

📅 May to beginning of September
📍 France or international

 

The 3-to-4 months professional experience (optional at the end of the first year) is an excellent opportunity to put your academic knowledge to the test and gain practical experience in the sector of your choice.

Year 2 -Third semester

📅 October to January
📍 Paris

 

Experiential elements:

  • Career service
  • Company visits

 

Signature courses:

  • Innovation & Transforming business
  • Research methodology

 

Specialization courses:

  • Practice of Data Science & Data Analysis
  • Introduction to Machine Learning
  • Responsible Data Governance
  • Advanced Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Datavisualization
  • Digital Data acquisition analytics in Marketing
  • Big Data technologies
  • Time series applied to Finance

Year 2 - Fourth semester

📅 January to March
📍 Paris

 

Experiential elements:

  • Career services
  • International Seminar

 

Signature courses:

  • Governance, ethics & Sustainability thinking

 

Specialization courses:

  • Generative models & applications
  • Data science mission
  • Cloud computing Fundamentals

 

🌍 International Seminar in Europe:
The international seminar takes place over one week. It is a unique opportunity to engage in insightful conferences and connect with numerous companies. It offers a firsthand understanding of how the economic landscape influences business strategies, while also immersing you in the local culture.

Master thesis

The Master thesis is an analytical work on a topic related to the industry and to the professional experience gained during your internship. This is a great opportunity for you to research a subject which is not only of particular interest, but which has the potential to contribute powerfully to your personal and professional development.

2-month international term

📅 March to May
📍 Abroad

 

This is an opportunity for you to discover another culture and have courses in a prestigious university outside of France. You will be confronted to a new international business environment where you will learn more about Project Management and complete your technological acculturation (for example: McGill University in Montreal for the 2023-24 academic year)

Compulsory professional experience - 4 to 6 months

📅 May to December
📍 France or international

The 4 to 6-month compulsory professional experience is a great opportunity to put your academic knowledge to the test and acquire tangible experience within the industry. The school will give you all the support and tools you need to find the right internship for you.

Welcome to emlyon's Master in Data Science & Artificial Intelligence Strategy

Imène BRIGUI - Co-director of the MSc in Data Science & Artificial Intelligence Strategy

Imène BRIGUI is the director of the Master in Data Science & Artificial Intelligence Strategy. She holds a PhD in Artificial Intelligence from Paris Dauphine University. Her research areas focus on Artificial Intelligence and in particular multiagent systems and Knowledge engineering. During more than 15 years’ experience in research and teaching, she has been involved in several research projects and pedagogical responsibilities. She is also engaged in multiple AI and Data communities in France and abroad. She believes in making AI and Data science more accessible to empower and support societies and individuals.


Talents that we will train in the Master in Data Science & Artificial Intelligence Strategy will benefit from a broad vision of AI and become the AI strategists all companies need to think, design, build and implement responsible and highly impactuful systems. To get the most of AI and data science, it is crucial to integrate natively both the ethical and business dimensions. Technology is key but definitely not enough!
Imène BRIGUI, program director.

Assessments

Assessment methods may include case studies, presentations, mock exercises, tests, etc.
Graduation rate: data not yet available (first intake: September 2022)