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Advanced Certificate in Financial Econometrics and Data Analysis

Graduate students studying together

Today’s financial world requires analysts who know how to extract critical business knowledge from vast amounts of data. Our graduate-level certificate in financial econometrics and data analysis is designed to meet that growing need.

This interdisciplinary program, which combines the strengths of our computer and information science department and economics department, will provide you with state-of-the-art rigorous training in quantitative analysis.

The curriculum requires one course in economics (ECON  6910 Applied Econometrics or ECON 6950 Financial  Econometrics), and one course in computer science (CISC 6950 Algorithms and Data Analysis or CISC 6930 Data Mining)  for a total of six credits. Both courses rely on programming methods used in statistical software.

Topics covered include:

  • Econometric techniques, starting with least squares estimation and finishing with forecasting and modeling of financial variables
  • Statistical diagnostics and corrections for data using an industry standard data analysis tool
  • Data mining techniques for dealing with large data sets
  • Exploratory data analysis systems to build hands-on experience

Program Basics:

  • Cumulative GPA of 3.0 (B) is required to complete certificate
  • Courses can be counted toward graduate degrees in economics (M.A. Economics) or computer science (M.S. Data Analytics)
  • Current IPED students specializing in international banking and finance may fulfill the certificate requirements as part of their 12 master’s degree courses by taking applied econometrics in the fall of their first year and algorithms and data analysis in the fall of their second year
  • Classes are mostly held at the Rose Hill campus with the exception of CISC 6930 Data Mining
  • Because of its brevity, the certificate program is not eligible for US Federal Aid programs
  • Private loans or payment plans may be available

Application Deadline

Kindly consult the GSAS Application Deadlines web page to view the deadlines to submit the online application.