Applied Econometrics Certificate

What is Econometrics?

Econometrics is the application of statistical methods to economic problems. For example, econometrics can be used to determine which factors predict whether a borrower will default on a loan and can be used to forecast trends.

What can I expect to gain with an Applied Econometrics Certificate?

A competitive edge in the marketplace. Individuals who can answer problems using data are in high demand in the job market. All courses in the Applied Econometrics Certificate focus on using data and statistics to answer questions and solve business-related problems.

What types of jobs are available for someone with training in Applied Econometrics?

Econometrics skills are in high demand in both the corporate world and the public sector. In the business world, a few examples of areas in which those with econometrics training work are financial analysis, forecasting, market research, logistics and quality control. Econometrics training is also useful for government jobs. Policymakers need hard evidence on which to base their decisions; data must be collected, analyzed and presented in a convincing way. State and federal government departments, such as the Federal Reserve and the Office of the Comptroller of the Currency, regularly seek graduates with econometric skills.

The Program

The Graduate Certificate in Applied Econometrics provides students with a strong foundation in applied econometrics, a skill set that is increasingly in demand. In addition, students considering graduate study in economics have the opportunity to explore material prior to formally committing to a full graduate degree program. The certificate program requires completion of 12 graduate credit hours of coursework in econometrics (four courses). The Applied Econometrics Certificate is a designated STEM program, allowing for a total of 29 months of OPT.  Admission and Progression Requirements and all Program Requirements can be found in the Graduate Catalog. Please see the information below:

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