Program

Who is eligible for this track?


What does the Media & Digital track purpose?

In today’s interconnected global landscape, the media industry serves as a cornerstone of societal discourse, entertainment, and information dissemination.

The Media Economics course digs deep into the intricate economic dynamics that underpin this vibrant sector. Through a multifaceted exploration of theoretical frameworks, empirical analyses, and industry case studies, students will gain a nuanced understanding of how economic principles intersect with media content creation, distribution channels, revenue models, and regulatory frameworks.

At the heart of the course lies the recognition of media as both a cultural artifact and a commercial enterprise. By dissecting the economics behind media production, consumption, and regulation, students will uncover the complex interplay between market forces, technological disruptions, societal norms, and policy interventions that shape the media landscape.

The latest developments in Artificial intelligence (AI) have increased the need for managers who are technically savvy, and have created unprecedented demand for people that can lead interdisciplinary teams. At the same time, managerial soft skills including critical thinking, comprehensive decision making, and creativity are becoming increasingly important, as AI enabled tools will inevitably make many of today’s mundane and repetitive tasks obsolete.

This course aims to equip participants with the necessary sociotechnical skills to launch, supervise, and lead AI initiatives in a wide range of business units, organizations, and industries. Using active learning methods —including business cases, workshops, no-code solutions, and simulations—participants will be prepared to tackle complex and unstructured problems, involving both technical and human issues. Unstructured problems do not have a unique, correct solution, and are precisely where managers can thrive, and AI often comes short. Solving such unstructured problems is much of what managers do, and the ability to solve them is often what sets apart great managers from the pack.

In this course, participants will discuss both the opportunities and the challenges that arise in a wide range of industries due to AI, as well as be exposed to a method for dealing with unstructured problems that has been successfully used by the leading consultingcompanies, C-level executives, as well as ESSEC professors.

The content discussed in the course is currently being used in the world’s leading business schools, and the method used has been found to be robust in the widest variety of management problems and has had an impact on literally thousands of executives and MIM participants around the world.



or  DEVD31229     Intellectual Property Law and Digital Challenges