MS Business Analytics
The MS in Business Analytics focuses on modeling and applications which prepares you for a career as a business analyst in industry or government. Today, companies in every conceivable industry are reaping the benefits of using formal mathematical models to assist them in addressing complex business problems. Business Analytics graduates hold positions that bridge the gap between operations research/statistics specialists and management.
Learn to apply quantitative methods to real-world problems using modern methodologies adopted from statistics, operations research, and management science. The MS in Business Analytics focuses on applications of mathematical models in the workplace rather than the development of new research techniques. The managerial emphasis of our degree is accomplished through a comprehensive set of elective and required coursework such as data analysis, decision analysis, predictive analytics, prescriptive analytics, causal analytics, evaluative analytics, supply chain management, forecasting, etc. Students have the opportunity to learn current analytics tools such as R, Python, database tools, and Tableau.
This degree is designed to be completed in 18 to 24 months. However, with careful planning, in consultation with an academic advisor, full-time students may be able to complete the degree in 12 months.
The MS in Business Analytics focuses on modeling and applications which prepares you for a career as a business analyst in industry or government. Today, companies in every conceivable industry are reaping the benefits of using formal mathematical models to assist them in addressing complex business problems. Business Analytics graduates hold positions that bridge the gap between operations research/statistics specialists and management.
Learn to apply quantitative methods to real-world problems using modern methodologies adopted from statistics, operations research, and management science. The MS in Business Analytics focuses on applications of mathematical models in the workplace rather than the development of new research techniques. The managerial emphasis of our degree is accomplished through a comprehensive set of elective and required coursework such as data analysis, decision analysis, predictive analytics, prescriptive analytics, causal analytics, evaluative analytics, supply chain management, forecasting, etc. Students have the opportunity to learn current analytics tools such as R, Python, database tools, and Tableau.
This degree is designed to be completed in 18 to 24 months. However, with careful planning, in consultation with an academic advisor, full-time students may be able to complete the degree in 12 months.
