Graduate Certificate in Data Analytics in Economics

Program Overview

The Graduate Certificate in Data Analytics in Economics at the University of Toledo equips students with essential data analysis skills for economics research. The program covers causal inference, forecasting, and programming for data collection and analysis. Upon completion, students can formulate research questions, collect and prepare data, apply empirical methods, and communicate results effectively.

Program Outline

Degree Overview:

• The Graduate Certificate in Data Analytics in Economics at the University of Toledo is designed to provide students with the foundational social science data analysis skills required by employers.
• The program covers methods such as causal inference and forecasting, alongside complementary programming skills for collecting, preparing, and analyzing data sets.
• Upon completion, students will be able to formalize research questions that can be studied with empirical data, collect and prepare data for analysis, choose and apply the appropriate empirical method for the data and research question of interest, and explain and communicate empirical results in writing and verbally.

Outline:

• The program consists of three required courses and an applied data analysis Master's paper:
• ECON 5810: Econometrics Models and Methods I (4 credits)
• ECON 5820: Econometrics Models and Methods II (4 credits)
• ECON 5000-level elective course with a required data analysis component (4 credits)