DSCI 305
DATA, ETHICS, AND SOCIETY
An examination of the ethical implications and societal impacts of choices made by data science professionals. The course will provide practical guidance on evaluating ethical concerns, identifying the potential for harm, and applying best practices to protect privacy, design responsible algorithms, and increase the societal benefit of data science research.
Prerequisites & course information
Short Title: DATA, ETHICS, AND SOCIETY Department: Data Science Grade Mode: Standard Letter Course Type: Seminar Distribution Group: Distribution Group II Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level
Sources
- Course catalogue ↗2026–2027