Decision Science Fundamentals

Unlock the full potential of data-informed decision-making in this hands-on track. Begin with the fundamentals of decision science—problem framing, modeling, and ethical considerations. Then, master tools like decision trees, expected value analysis, and scenario modeling to make strategic, data-backed choices. Round out your skills with techniques to recognize, measure, and mitigate bias in data collection, analysis, and decision logic. By working through real-world case studies and interactive exercises, you’ll gain the confidence and credibility to make fair, transparent, and effective decisions across a wide range of industries.