The program is designed for individuals who want to use data, AI and advanced analytics to tackle complex business challenges and drive innovation. Typical profiles include graduates and professionals from business, engineering, technology, economics and related fields, often with a strong interest in quantitative analysis and digital transformation. Students share a common ambition: to turn data into actionable insights and impact.  

The faculty includes professionals with long-standing industry careers in data, analytics and AI. For example, computer science engineers who have worked in IBM’s Data & AI business unit and taught data-related subjects (databases, SQL, Hadoop, Spark, etc.) at multiple institutions. Overall, many professors come from companies like Amazon, Google and IBM, bringing first-hand expertise from leading digital players directly into the classroom. 

Teaching is oriented around practical application, with case studies, group projects, simulations and direct work on real datasets. Faculty are described as "builders of the data-driven future," closely mentoring students as they transform analytical ideas into business solutions. This approach ensures that you do not only learn technical tools, but also how to communicate insights, influence stakeholders and design strategies based on data. 

Our students represent a wide range of academic disciplines, professional experiences, and cultural backgrounds. This diversity creates a collaborative learning environment where different perspectives, approaches, and real-world contexts enrich the classroom experience.

From this page and the main program page, you can access options to chat with current students or staff, book a call for the full-time or part-time format and explore additional content about student life.