Course Code

University of Chicago Gleacher Center



Instructor: Arnie Aronoff

Date & Time: June 20-July 25 | Wednesdays 6-9 p.m.

Data analytics changes how we work and live in enormously productive ways.  However, it also raises an array of challenging ethical issues with which all data analysts should be familiar. “Ethics in Big Data Analytics” is a four-session, short course survey of the major ethical issues confronting data analytics.  We explore ethical issues related to data collection, storage, cleaning, analysis (including algorithms and machine learning), and communication. The syllabus is attached. The course is offered on a Pass/Fail basis and employs lecture, discussion, guest speakers, case studies, mock debates, brief video clips, and “what if” scenarios as pedagogical techniques. By the conclusion of the course, students should be able to explain why ethics is important to their work; verbalize the import of specific ethical challenges; and argue how data analytics should or should not be used in a variety of business and social settings.

Note: MSCA037013 is the open-enrollment section of MSCA 37013. University of Chicago students currently enrolled in a degree program should register for the MSCA 37013 course through