SKEMA AI SCHOOLFOR BUSINESS

 

 

Mission

The mission of SKEMA AI School for Business is to advance artificial intelligence research and pedagogical experiences to prepare the managers of the future to work in an AI-enabled environment.

It aims to impart a wide range of AI fundamentals and managerial perspectives to students and leaders from different fields.

Students at SKEMA AI School for Business will learn and acquire a solid understanding of artificial intelligence solutions and applications by taking courses co-delivered by SKEMA's faculty, experts from the business world and AI players across the world.

Learn more about the programmes offered by SKEMA AI School for Business.


Objectives

  • Explore how Human Centric Artificial Intelligence systems applied to business may generate economic, ethical and societal value.

  • Build an intellectual foundation for the emerging and critically important discipline of Data Centric AI.

  • Adopt a multidisciplinary perspective based on the collaboration between social scientists and AI researchers and engineers to develop know-how to explore business opportunities driven by AI using a rigorous methodology. 



A network of corporate partners and a worldwide reach in AI


SKEMA AI School for Business actively develops synergies between the worlds of higher education and business. The school has developed a dense network of partnerships with leading AI companies such as Microsoft, IBM, Pryon, Align Technology, Infinia ML, Red Hat, SAS and NetApp.

The school fosters regional and national discussions that lead to direct impact on the economic ecosystem. Its Montreal resource and research center serves as a resource and development centre for all SKEMA campuses worldwide.

SKEMA is a founding member of the 3IA Côte d'Azur, along with the other primary partners of UCA : CNRS, MINES ParisTech, Inria, Inserm and EURECOM.

Why choose SKEMA?
At the top of French and international rankings SEE RANKINGS
A global business school SEE SKEMA NEWS
A wide range of programmes COMPARE