The MSc in Digital Marketing & Data Science pedagogy uniquely combines a strong academic background in business studies, marketing, data analysis and strategy with an in‐depth and specific digital knowledge and data driven marketing.
An example of companies that participate in the program, host company visits and conferences are 1000mercis, Amazon, AXA, Capgemini, Converteo, Criteo, Facebook, GE, Google, Hilti, IBM, Microsoft, Orange, Saint-Gobain and TF1.
Discover the program content for the academic year 2021-2022.
Word of welcome
“Artificial Intelligence is rapidly evolving and transforming user behavior and daily life through flexible, adaptable machines with intelligence comparable to the human mind. Capabilities generally classified as AI include successfully understanding human speech, natural language processing (improving interactions between computers and human); competing at a high level in strategic gaming systems, autonomous cars, intelligent routing in content delivery and interpreting complex data.
For businesses, one of the primary benefits is in understanding customer needs and wants, preferences, and behavior in a more efficient manner."
Margherita Pagani - Full Professor of digital marketing at emlyon business school, director of the Research Center on Artificial Intelligence in Value Creation and co-director of the program
"The program aims to help students to develop new competencies required to be a marketing technologist in the evolving AI driven ecosystem and understand the management challenge of digital marketing and artificial intelligence. The objective of the program is to provide students with skills in two disciplines, such as digital marketing and data science, that appear very different but that are actually very complementary.
The objective here is direct experience based learning and not just theory-based learning. We offer an immersive experience in different cultures (Europe, US and Asia), in universities and businesses, and with professionals who are immersed in digital marketing, Artificial Intelligence and data science on a daily basis. Sharing experiences helps to inspire as much as to teach. We provide the essential tools: each person will then be able to use them in the next steps of his or her own journey.”
Clément Levallois - Associate professor in the market and Innovation department, computational social scientist and co-director of the program
Assessment methods may include case studies, presentations, mock exercises, tests, etc…