In a data-driven business world, understanding cause-and-effect relationships is crucial for decision-making. This course introduces MBA students to modern experimental techniques, with a focus on randomized control trials (RCTs, also often called A/B tests), which are widely used to gain actionable insights in real business contexts. Students will learn how to design, execute, and analyze experiments that reveal the true impact of business strategies and allow for data-driven decisions. By the end of the course, students will have the practical tools and confidence to understand and apply experimental methods in answering questions and optimizing business practices in a variety of industries.
Division: Economics
Curriculum Pathway: AI and Data Analytics

Prerequisite

Complete ANY of the following Courses

Fall 2026


B8257 - 001


B8257 - 050

Fall 2025


B8257 - 001

Summer 2025


B8257 - 001

Spring 2025


B8257 - 001

Spring 2024


B8257 - 001

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