DS-710 Ethics in Data Science
This course covers critical ethical considerations in data science, including data privacy, bias, algorithmic fairness, and the societal impact of data-driven decisions. Students will critically analyze case studies, discuss ethical frameworks, understand the importance of data governance, and explore the balance between innovation and ethical responsibility in data use. The curriculum emphasizes developing ethical guidelines and decision-making skills in real-world data scenarios, preparing students for responsible leadership in the data science field.
Prerequisite
Students who specified one or more of these Programs of Study or Program Foci Master of Science in Data Science MSDS