Master in Data Science & Artificial Intelligence Strategyemlyon business school

The Master in Data Science & Artificial Intelligence Strategy program is designed to equip students with advanced data science expertise combined with strategic and ethical leadership skills. The program focuses on teaching participants how to transform data into actionable insights, master AI tools and technologies, and lead business transformations powered by artificial intelligence. The curriculum integrates academic knowledge with practical experience through hackathons, consulting projects, data science missions, and professional internships. The program offers strong international exposure with study periods in Europe and Canada, and a seminar in Europe, aiming to develop a global business mindset and broaden career opportunities. It also provides access to a network of alumni, corporate partners, and recruiters in the AI, consulting, finance, and tech industries.

Upon completion of this study, graduates will be prepared to become strategic AI leaders capable of navigating future business challenges. The program emphasizes core strengths in Strategic Thinking, Technical Proficiency in Data Science and AI, Ethical Awareness regarding AI, and Data Project Leadership.

The study program is structured with a pedagogy that allows for completion in one or two years, depending on the student's academic background. It features academic excellence with renowned professors, a solid specialization in Data Science, AI applications, and ethical governance, and immersive learning through real-world business challenges. International exposure and multicultural teamwork are key components, with courses taught entirely in English. The program includes:

• Year 1 (24 months): Includes foundational courses, specialization courses, an international term in Europe, and an optional professional experience of 3-4 months. Experiential elements include discovery of the Paris Tech ecosystem, company visits, inspiring talks, and career events. Core courses cover finance, marketing, statistics, and innovation business games. Specialization courses include programming fundamentals, data wrangling and analysis, business intelligence, and AI history and applications.
• Year 2 (12 months): Focuses on advanced coursework and practical projects, including an international term in Montreal (Canada) at McGill University, and a mandatory professional experience of 4-6 months. Signature courses include innovation and transforming business, research methodology, and governance, ethics, and sustainability thinking. Specialization courses cover advanced machine learning, deep learning, natural language processing, data visualization, digital data acquisition analytics in marketing, big data technologies, and time series applied to finance. An international seminar in Europe provides expert-led conferences and company engagement.