PITFALLS, ETHICS, COMMUNICATION, AND LEADERSHIP IN BUSINESS ANALYTICS
Focus on applications, highlighting key practical issues in analytics projects. Discussion of pitfalls with regards to analytics applications, ethical aspects of analytics applications, as well as talent management and leadership in the context of analytics.
Prerequisites & course information
Requisites: GEN BUS 657 (or GEN BUS 888 prior to Fall 2025) and GEN BUS 883 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Recognize potential warning signs of predictive models failing or overpromising. Audience: Graduate 2. Engage with ethical issues concerning analytics applications regarding autonomy, beneficience, and fairness. Audience: Graduate 3. Audit algorithms/predictions for potential biases. Audience: Graduate 4. Make strategic choices among analytics projects, including effective management of human resources. Audience: Graduate Learning Outcomes: 1. Recognize potential warning signs of predictive models failing or overpromising. Audience: Graduate 2. Engage with ethical issues concerning analytics applications regarding autonomy, beneficience, and fairness. Audience: Graduate 3. Audit algorithms/predictions for potential biases. Audience: Graduate 4. Make strategic choices among analytics projects, including effective management of human resources. Audience: Graduate
Sources
- Course catalogue ↗2026-2027