Data-driven decision making

Education facts

Code: 1NA926

This course is designed to equip students with the knowledge and skills necessary to make informed, data-driven decisions in a variety of professional and personal contexts. Through a blend of theoretical concepts, practical exercises, and case studies, students will develop a comprehensive understanding of the role and utilization of data in decision-making processes. To that end, the course also leverages recent advances in business analytics, including 'big data' and machine learning.

Entry requirements

Economics 15 credits and Statistics 15 credits or course credits in time series analysis and regression analysis, or the equivalent. English 6, or the equivalent

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Data-driven decision making

  Linnaeus University (Kalmar Växjö)

  Start date: 14 December 2026

  End date: 17 January 2027

  Pace of study: 100 %