Course Code
MSCA 37013

Big Data analytics has generated significant change in industries such as manufacturing, health care, transportation, and retail, as well as in government and social services. For data analysts to manage these changes constructively, technical skills alone are not sufficient. Understanding the challenging ethical issues Big Data presents needs to supplement technical competence.

This four-session course will focus on two of the more critical Big Data ethical issues at hand: bias and privacy. Its goal is to equip students with the ability to identify, understand, and discuss these the ethics of bias and privacy in the context of their work.

The course is offered on a Pass/Fail basis and employs lecture, discussion, guest speakers, case studies, mock debates, and brief videos as pedagogical techniques.

There is no required reading for the course, although a list of sources and relevant readings will be provided. Students will be expected to participate actively in classroom discussion and activities. One of those activities will be a series of four classroom debates. Students may need to meet outside of class to prepare for these debates.  There are no quizzes or essays.  Students can only miss one of the four sessions to pass this pass/fail course.Big Data analytics has generated significant change in industries such as manufacturing, health care, transportation, and retail, as well as in government and social services. For data analysts to manage these changes constructively, technical skills alone are not sufficient. Understanding the challenging ethical issues Big Data presents needs to supplement technical competence.

Students not enrolled in the MScA degree program may register for an open enrollment version of this course.