Master of Science - Data Analytics and Applied Economics

The MS in Data Analytics and Applied Economics combines skills in programming, data gathering, and data management from courses in the Lee Business School’s Management Entrepreneurship, and Technology (MET) department, with skills in economic reasoning and statistical analysis skills taught in graduate-level Economics courses. The program is designed to attract students with focused career choices that require core competence in programming and constructing data systems with analytical and statistical skills. It also prepares students for careers as data scientists. The economics portion of the joint degree advances students’ knowledge in economic theory. It also provides students with skills associated with advanced statistical and econometric analysis, and helps students develop their communication skills. The MET portion of the joint degree is designed to equip graduate students with a solid foundation in programming, building data management systems, and data mining.

Learning Objectives

  • Apply economic models to business problems.
  • Analyze data with advanced statistical and econometric techniques.
  • Learn and employ techniques of data analysis to inform business strategy.
  • Apply computer programming and computing software to analysis of data.

Graduate Catalog

This is the official repository of graduate program requirements, graduate program handbooks, and Graduate College policies.

Representative Syllabi