Course Schedule

On-campus courses are offered year-round in five, 8-week terms. Students typically start the program in the Fall term. View the Academic Calendar

The traditional evening and weekend option allows some flexibility in scheduling, although prerequisites may be required before taking certain courses. Below are the suggested course sequence for students wishing to complete the program in either one or two years.

Suggested 1-year Schedule

Term Course Credits
Term 1 (Aug-Oct) Micro Theory, with Implications & Applications 3
Statistics, the Classical Model, Identification & Causal Inference 3
Term 2 (Oct-Dec) Macro Theory, Measurement & Empirics 3
Advanced Techniques & Extensions of the Classical Model 3
Term 3 (Jan-Mar) Foundations of Analytics and Data Science 3
Time Series Analysis, Inertial Forecasting, and Cointegration 3
Term 4 (Mar-May) Advanced Machine Learning and Predictive Analytics 3
Financial Economics (theory and application of financial market value) 3
Term 5 (May-Jul) Economic Policy Analysis 3
Causal Multi-Equation Modeling, Scenario Forecasting, and Error Analysis 3
  Program Completion 30

Suggested 2-year Schedule

Term Course Credits
YEAR 1
Term 1 (Aug-Oct) Micro Theory, with Implications & Applications 3
Term 2 (Oct-Dec) Macro Theory, Measurement & Empirics 3
Term 3 (Jan-Mar) Foundations of Analytics and Data Science 3
Term 4 (Mar-May) Advanced Techniques & Extensions of the Classical Model 3
Term 5 (May-Jul) Economic Policy Analysis 3
YEAR 2
Term 1 (Aug-Oct) Statistics, the Classical Model, Identification & Causal Inference 3
Term 2 (Oct-Dec) Advanced Machine Learning and Predictive Analytics 3
Term 3 (Jan-Mar) Time Series Analysis, Inertial Forecasting, and Cointegration 3
Term 4 (Mar-May) Financial Economics (theory and application of financial market value) 3
Term 5 (May-Jul) Causal Multi-Equation Modeling, Scenario Forecasting, and Error Analysis 3
  Program Completion 30
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