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 by | Prof. Dr. Andreas Kilian Gernert |
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ECTS credits | 5 Credit Points |
Tracks | Standard Track |
Method of examination | 50% written exam, 50% project work |