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The course will cover forecasting tools and applications applied to business settings. The first half of the course will cover traditional Econometric forecasting methods and the second half of the course will focus on predictive analytics models and machine learning. Time in the computer lab will be focused on teaching students how to implement the models discussed in lectures. (Cross-listed with BSAD 8080).

Prerequisite(s)/Corequisite(s): ECON 8320 (or equivalent programming experience) or permission of instructor. Not open to non-degree graduate students.

Business Administration, MBA and Economics, MS (MBA/ECON)

In a world with increasingly more data, the quantitative focus of the graduate Economics degree is increasingly attractive to students and employers.   Businesses generate data at an unprecedented rate, and the econometric and modeling skills of an applied economics degree allows graduates to make sense of business data in a systematic and scientific way.  This specialization is enhanced with the broad knowledge provided by an MBA degree. Students in the MBA program demonstrate basic proficiency in a number of business-related disciplines, including marketing, management, accounting, and finance.  This wide domain of knowledge allows students to apply the analytical skills learned in economics courses to a wider set of business problems, thereby adding value to their organizations. Students who wish to pursue this option must work closely with an advisor to develop an integrated plan of study at an early stage. Students who complete the dual degree program will receive two degrees, two diplomas, and will have both degrees recorded on their transcript.