MSA 575 - Social Media Analytics (3 cr.)

This course offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engine, and location layers. We will see how social network analysis, web mining and statistical methods can be used to study these topics. By the end of this course, students will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. While there are no prerequisites, students are expected to be proficient in SAS programming, data structures, and web analytics and have taken college level or above courses in statistics and mathematical modeling.
Prerequisite(s): MSA530 and MSA540.
Semester(s) Offered: Spring