Certificate in Computational Economics and Data Analytics: This concentration provides students with a deep background in advanced tools for analysis of economic data, including traditional regression methods commonly used in economics, as well as more computationally intensive methods, such as machine learning. Students completing this certificate will be well-prepared for positions in a wide range of business and government organizations where high through-put analysis of incoming data is valued. The certificate is also an excellent preparation for graduate study in economics or decision sciences, particularly for areas where computational modeling of economic decision making and analysis of data from decision making is the focus. Students planning to pursue this certificate should have a strong aptitude and interest in econometrics and are recommended to complete econometrics (01:220:322) and calculus II (01:640:136 or 152) as early as possible. As for all the certificate programs in economics, a total of four courses, each with a grade of B or better, are required, as well as an overall g.p.a. of at least 3.0.
Core:
01:220:420 Computational Methods for Research in Economics
Data Methods electives (at least three from this list):
01:220:421 Economic Forecasting and Big Data
01:220:422 Advanced Econometrics for Microeconomic Data
01:220:423 Advanced Time Series and Financial Economics
01:220:424 Machine Learning for Economics
Faculty Advisor for the Certificate in Computational Economics and Data Analytics: TBD
