Program Content for the Master in Data Science & Artificial Intelligence Strategy

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

Logo CEFDG

The Master’s Program in Innovation is designed to prepare students for high-level expertise in one of three specializations : DSAIS, SCO and DMDA. This program fosters excellence in academic and practical learning, supported by research and high-level practitioners. Students are rigorously selected and trained to become experts in solving complex problems, driving transformation, and leading innovation.

 

Academic Excellence: The program is built on a foundation of rigorous academic standards in terms of content and targeted set of skills.

 

Research Integration: Students benefit from the latest research and developments in their field, gaining insights that are directly applicable to real-world challenges.

 

High-Level Practitioners: Courses are taught by a mix of faculty members and experienced industry professionals and experts, providing a balanced perspective of theory and practice.

 

Professionalization and Practical learning : Real-world missions and In company projects in Master 1 and Master 2

 

(accredited by the French Ministry of Higher Education)

Master in Innovation specialization Data Science & Artificial Intelligence Strategy

Unlock the future of business with the Master in Data Science & Artificial Intelligence Strategy specialization, 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 DSAIS 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 DSAIS specialization, 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 DSAIS 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:

Calendrier DSAIS Master

[> Preview]

Academic content

Master 1 - First period (Septembre to March) in Paris

Common courses Master in Innovation

  • Intermediate Finance
  • Marketing for value creation
  • Statistics for Business
  • Innovation Business game
  • Sustainability introduction for future business leaders,
  • Strategizing complexity,
  • Operations & Decisions,
  • Introduction to Research Methodology

Courses Master in Data Science & Artificial Intelligence Strategy

  • Programming fundamentals,
  • Data science applied to organizational decision,
  • European Data Regulations,
  • Data wrangling & Data analysis,
  • Business Intelligence,
  • AI history & applications,
  • Agile Management,
  • Tools & methods of AI for business

Master 1 - Second period in international Term (March to May)

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

Master 1 - Third period Anywhere in the World* (May to September)

*Optional Internship

 

The 4 to 6 months internship is a great opportunity to put your academic knowledge to the test, and acquire tangible experience within the sector of your choice. The school will give you all the support and tools you need to find the right internship for you. Instead of doing an internship, why not starting directly with your first job ? It can validate this professional experience required to get your degree and graduate from the program.

Master 2 - First period (September to March) in Paris

Common Courses Master in Innovation:

  • Innovation and Transforming business,
  • Research methodology,
  • Governance, ethics & Sustainability thinking

Courses Master Data Science & Artificial Intelligence Strategy

  • Practice of Data Science & Data Analysis,
  • Introduction to Machine Learning, Responsible Data Governance,
  • Advanced Machine Learning, Deep Learning,
  • Natural Language Processing,
  • Generative models & applications,
  • Data visualization,
  • Digital Data acquisition analytics in Marketing,
  • Big Data technologies,
  • Cloud computing Fundamentals,
  • Time series applied to Finance,
  • Advanced technologies for business,
  • New trends for sustainable future,
  • International Business environment.

Master 2 - Second period in international (March to May)

International Seminar

The international seminar takes place for 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. *(Destination subject to change over years)

International term

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

Master 2 - Third period Anywhere in the world (May to December)

Professional thesis

The Professional 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.

Professional experience - 4 to 6 month

The 4 to 6-month internship is a great opportunity to put your academic knowledge to the test and acquire tangible experience within the industry.

The internship 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. Instead of doing an internship, starting directly with your first job can validate this professional experience required to get your degree and graduate from the program.

Welcome to emlyon's MSc 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 MSc 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 MSc 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 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)