The MSA curriculum emphasizes the use of advanced data management tools, applied statistics, and operations research techniques. Students use SAS, SQL, R, SPSS, Tableau, and other tools to analyze large real-world data sets to increase return on investment, improve customer retention, reduce fraud, and improve decision making. As part of the MSA program, students complete a major team project using a large data set provided by a sponsoring organization. Students present their results and recommendations to the sponsoring organization in a formal executive decision briefing. Students with degrees in business, engineering, economics, statistics, mathematics, and the sciences will benefit the most from this degree.
Key topics include the structured query language (SQL), multivariate statistics, clustering, data-mining, design of experiments, optimization methods, and predictive modeling. Teamwork, written and oral communication, presentation skills and state-of-the-art visualization techniques are stressed throughout the curriculum.
- 39 hours of graduate level course work with a 3.0 average or above
- Passing grade on the MSA Comprehensive Exam
- Successful completion of a major project
A typical course list is shown here:
The practicum project is a team-based effort in which students work with leading organizations to solve real analytics problems.
- Teams include two-three students and one faculty member.
- The teams work to understand the business problem and then clean and analyze the data.
- The projects begin in the fall and end in the spring with a presentation to the sponsoring organization.
- Past projects included the following industries: automotive, energy, government, healthcare, higher education, sports, and telecommunications.