Applied Econometrics and Machine Learning Graduate Microcredential
This graduate microcredential combines competency-based and traditional learning objectives to provide students with practical skills in applied econometrics and machine learning. The program equips participants with the ability to apply econometric methods to analyze economic data, implement machine learning techniques to solve real-world problems, integrate econometric and machine learning approaches for predictive modeling, and develop data-driven decision-making capabilities. The competency conferred enables graduates to bridge technical implementation with business and policy applications in data science, economic analysis, policy evaluation, and business intelligence.
Program Type
Graduate Microcredential
Program Format
On Campus
Application deadlines vary by program, please review the application deadline chart for specific programs. Other important dates and deadlines can be found by using the One Stop calendars. Admission eligibility is as follows:Admission Requirements
Application Deadlines
Admission
Credits and Courses
Code Title Credits Required Courses ECON 703 Econometrics 4 Electives Choose one of the following: 3 Econometrics and Machine Learning Methods Introduction to Machine Learning Programming for Machine Learning Total Credits 7
Questions regarding the application or the application process should be directed to the UWM Graduate School at gradschool@uwm.edu or 414-229-6569.
Current Graduate Students
Questions about research opportunities, department funding opportunities, or issues specific to the discipline should be directed to Itziar Lazkano.