Decision Science

Degree programs: MSc Business Analytics and Data Science, MSc Logistics & SCM, MSc International Management

The module is designed to provide students with a comprehensive understanding of decision making under various challenging scenarios. The module explores advanced techniques and methodologies that aid decision-makers in navigating complex situations characterized by imperfect information, uncertainty, risk, dynamic environments, and interdependent decision-making.

 

• Decision Making under Imperfect Information

• Decision Making with Uncertainty and Risk

• Decision Making in Dynamic Environments

• Game Theory and Interdependent Decision Making

 

The course combines theoretical concepts with practical applications to equip students with the necessary skills to address real-world decision-making challenges.

Course facts

Offered byProf. Dr. Andreas Kilian Gernert
ECTS credits5 Credit Points
Tracks Standard Track
Method of examination50% written exam, 50% project work

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