COURSE CURRICULUM

The MSc in Data Analytics for Business is structured across two semesters, providing a balanced combination of technical, analytical, and managerial skills. In the first semester, students build a strong foundation in data and digital technologies, beginning with a code bootcamp that introduces essential programming skills. They explore the digitalisation of companies and learn about data management, along with the broader impacts of artificial intelligence on businesses. The curriculum also includes data visualisation techniques to effectively communicate insights and an introduction to machine learning fundamentals, enabling students to understand how predictive models are developed. In the second semester, the program advances toward more complex applications and strategic use of data. Students study agile project management to handle data-driven projects efficiently and continue with advanced machine learning techniques to deepen their technical expertise. Business analytics is covered to connect data insights with decision-making processes, while stochastic processes provide a mathematical understanding of uncertainty in data. The program also examines the relationship between business and artificial intelligence, highlighting practical applications in organisations, and includes change management to help students lead digital transformation initiatives. Overall, the course prepares students to apply data analytics effectively in real-world business contexts.