Ethical Issues in Data Science

Course Overview

This course examines ethical issues related to data science, with the aim of making data science professionals aware of and sensitive to ethical considerations that may arise in their careers. It does this through a combination of discussion of ethical frameworks, examination of data science applications, reading current media and scholarly articles, and drawing upon the perspectives and experiences of fellow students and computing professionals.
Possible Development Paths: Taking this course can help learners develop a better understanding of ethical considerations in data science, which can be beneficial for those looking to pursue a career in the field. Learners can also use this course as part of the Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. This interdisciplinary degree brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others.
Learning Suggestions: Learners should supplement their learning by reading current media and scholarly articles related to ethical issues in data science. They should also draw upon the perspectives and experiences of fellow students and computing professionals to gain a better understanding of the ethical considerations in the field. Additionally, learners should explore the MS-DS program offered on the Coursera platform to gain a better understanding of the interdisciplinary degree and its potential benefits.