The aim of this program is to fill in the gap between business and engineer higher education in AI, by providing leaders with an action-oriented approach to master fundamental technological practices, together with a concrete understanding of human and business impacts. The program combines experiential and academic activities to learn how to think, to design and to deploy AI applications inline with a responsible data governance, business strategy and transparent practices.
In response to the extensive recruitment needs of the continuously growing AI-driven strategies and practices, this program gives you the opportunity to acquire key competencies by understanding, experiencing and doing AI.
Discover the program content for the academic year 2022-2023.
Welcome to emlyon's MSc in Data Science & Artificial Intelligence Strategy
Imène BRIGUI is the co-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 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 impactful 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! ”
Jean SAVINIEN is the co-director of the MSc in Data Science & Artificial Intelligence Strategy. As well as a researcher in data science and mathematics specialized in unsupervised learning on multigraphs and networks, a teacher of data science with a code-first approach, and an enthusiastic practitioner of deep learning. He enjoys working in a business school on concrete applications of AI, where the interplay between human, business, and data understanding is central, where business and human consequences of AI solutions really matter.
“AI impacts us in many profound ways, individually, collectively and culturally. Management and business practices and perspectives are being redefined by the development and spread of AI, lead by engineering and tech companies. It is high time for managers to acquire practical and operational know-how of AI and data science.”