This course provides a forum for discussion on a selection of topics on the ethical and legal aspects of Big Data through mainly contemporary literature in ethics, developments in law, and advances in Big Data technology. We examine case studies on Big Data and then reach conclusions regarding the relevant ethical and legal issues. In examining these case studies, we will also discuss principles and problems of broader philosophical significance. Topics discussed will include the correlation vs causation in data analysis, identity, privacy, and mass surveillance. Principles and problems discussed will include the doctrine of double effect, doing vs. allowing harm, theories of personal identity, and aspects of liberal morality. We will also develop a framework to handle ethical and legal questions in the context of Big Data for individuals, companies and states. No background in ethics or law is required but some affinity to how Big Data is developing is assumed.