ETHICS FOR DATA SCIENTISTS
Designed to educate data scientists, particularly those who work with biomedical data, about ethical and regulatory issues that may arise in the course of their research and professional interactions.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Identify ethical issues and recognize challenges to integrity that arise during the course of planning and conducting research or reporting research results. Audience: Graduate 2. Formulate a justified response to an ethical issue or integrity challenge, using ethical decision-making approaches and concepts. Audience: Graduate 3. Identify where to find professional resources that provide guidance for resolving ethical and research integrity issues. Audience: Graduate 4. Conduct improved discussions about ethical issues. Audience: Graduate Learning Outcomes: 1. Identify ethical issues and recognize challenges to integrity that arise during the course of planning and conducting research or reporting research results. Audience: Graduate 2. Formulate a justified response to an ethical issue or integrity challenge, using ethical decision-making approaches and concepts. Audience: Graduate 3. Identify where to find professional resources that provide guidance for resolving ethical and research integrity issues. Audience: Graduate 4. Conduct improved discussions about ethical issues. Audience: Graduate
Sources
- Course catalogue ↗2026-2027