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


Admission Requirements

Application Deadlines

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

Admission eligibility is as follows:

  1. UWM students already enrolled in another degree or certificate program: Graduate-level standing required. Pre-program assessment and preparation materials will be provided to ensure readiness for quantitative coursework.
  2. Non-degree or special students enrolling in credit-bearing microcredentials: Graduate-level educational attainment or equivalent professional experience in quantitative fields. Pre-program assessment to ensure readiness for graduate-level econometrics and machine learning coursework.

Credits and Courses

Required Courses
ECON 703Econometrics4
Electives
Choose one of the following:3
ECON 734
Econometrics and Machine Learning Methods
COMPSCI 711
Introduction to Machine Learning
COMPSCI 715
Programming for Machine Learning
Total Credits7

Contact
Prospective Graduate Students
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.