This course provides an introduction to critical and ethical issues surrounding data and society. It blends social and historical perspectives on data with ethics, policy, and case examples from Facebook's Emotional Contagion experiment to search engine algorithms to self-driving cars to help students develop a workable understanding of current ethical issues in data science. Ethical and policy-related concepts addressed include - research ethics; privacy and surveillance; data and discrimination; and the black box of algorithms. Importantly, these issues will be addressed throughout the lifecycle of data from collection to storage to analysis and application.