Data Science and Business Intelligence & Analytics (BI&A) systems go hand in hand and are a core enabler of decision-making in today’s organizations.  Where Data science rather represents a broad and generic concept of studying data to extract meaningful insights, BI&A systems provide actionable support along the entire analytical lifecycle. The aim of this course is to introduce key concepts, design principles, and building blocks of contemporary BI&A systems as well as foundational methods and central roles in organizations. A specific emphasis is set on introducing key concepts and activities from the perspectives of a data engineer, a data analyst, and a business analyst. 

The course is complemented with an engineering capstone project, where students work in a team with real-world use cases and data in order to create a prototypical Business intelligence & Analytics system using state-of-the-art technologies (e.g., Databricks)