Decision Science in Management introduces learners to advanced analytical tools, modeling techniques, and structured frameworks for making sound business decisions in complex and uncertain environments. This course integrates concepts from operations research, data-driven analytics, behavioral decision-making, and systems thinking, emphasizing real-world applications in strategic, operational, and financial management.
Learners will explore decision modeling using quantitative (linear programming, simulation, risk analysis) and qualitative (multi-criteria decision analysis, game theory) approaches. Modules include critical thinking for managers, data visualization for decision support, ethical and responsible decision-making, and organizational decision frameworks for digital transformation contexts. Case studies from diverse industries illustrate best practices and pitfalls in group and organizational decision dynamics.
Through interactive video lectures, discussion forums, hands-on exercises, and peer-reviewed mini-projects, students develop strong problem-solving skills applicable for leadership roles. The course is designed for management students, working professionals, and business executives seeking advanced competencies in decision science for contemporary business challenges.
