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

Undergraduate Catalog 2016-17

General Information


Financial Information

Academic Support Services

Academic Information and Policies

University Requirements and the Liberal Arts Core

Academic Opportunities

Undergraduate Programs

Course Descriptions

University Leadership

Notices to Students