MA/MS in Data Analytics

CSP Global designed this master's degree for working professionals who want to stay current in a rapidly expanding discipline. Students become familiar with statistical tests such as hypothesis testing, analysis of variance, chi-square and regression, and they use R and Python to build their own analytic tools. Other subjects include graphics for statistics, simulation, optimization using linear programming and the creation of a decision support system through object-oriented methods. Hands-on exposure to Hadoop, Spark and Splunk is part of the coursework. Admission calls for an undergraduate degree or beyond from a recognized accrediting body and a cumulative GPA of at least 3.0, with 4.0 as the top mark. The program is listed as a campus-based option. Visitors can follow links to admission, required courses, costs, aid and career support.