Marymount University
Undergraduate Catalog 2016-17
MSC 325 Data Analytics
Builds upon basic statistics courses and explores contemporary topics in the areas of data science and business analytics. Grounded in methodological theory and practice, the course addresses such topics as forecasting and multiple regression, simulation, risk analysis, and linear and non-linear optimization, and decision analysis. Maintaining a state-of-the-art perspective, the course introduces students to the use of recently emerging techniques such as market basket analysis. Acknowledging the changing nature of analytic software, the course uses R, a robust, open source statistical platform with an enormous library of multi-disciplinary applications. The course has multiple goals including: preparing students to understand the application of data analytics; helping students develop skill in applying techniques to complex organizational problems; and facilitating lifelong learning—teaching how to monitor emerging technologies and evaluate related benefits and costs. Prerequisites: MSC 300 or MA 132. (3)
Catalog Contents
School of Business Administration
School of Education and Human Services
Academic Information and Policies
Academic Integrity Policy Summary
Other Credit-Acquisition Opportunities
Post-Baccalaureate Certificate Student Academic Policies
Students Pursuing a Double Major or Dual Degrees
Students Enrolled in Bachelor’s/Master’s Programs
University Requirements and the Liberal Arts Core
Undergraduate Pre-Professional Studies
Consortium of Universities of the Washington Metropolitan Area
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