Data-driven Decision Making 5 credits

In an increasingly data-saturated world, the ability to make sound decisions based on evidence is essential. Organisations across industries rely on professionals who can interpret data, manage uncertainty, and translate analysis into meaningful action. This course addresses the growing demand for decision-makers who combine analytical precision with strategic thinking. You will explore how data can inform choices in complex, real-world business environments, where stakes are high and information is often incomplete. You will examine core principles of decision theory and learn how individuals and organisations make choices under uncertainty. The course introduces frameworks for structuring decision problems and selecting appropriate analytical approaches. You will work with both structured and unstructured data, gaining practical skills in data cleaning, organisation, and visualisation. Key methods include descriptive statistics and predictive modeling, guided by a responsible use of AI and applied through real-world examples from marketing, sales, supply chain management, and customer relationship management. By the end of the course, you will be able to evaluate analytical outcomes, draw well-supported conclusions, and communicate recommendations with clarity and confidence. You will develop the ability to assess the quality of data and models, defend your decisions, and contribute to evidence-based strategies in professional settings. Whether you pursue a role in analytics, consulting, or management, this course will prepare you to engage critically with data and make informed decisions that create value.