Political Economy with Data Analytics, MA
The Master of Arts in Political Economy with a Data Analytics Emphasis is a two-year (four-semester) interdisciplinary program. The major goal of the program curriculum is to train public policy specialists using advanced technologies and data analytics.
A minimum of thirty- (30) credit hours of coursework with a cumulative GPA ≥ 3.0. The 30 hours include 12 hours of core courses, 18 hours of graduate Data Analytics Electives.
Course ID | Title | Credits |
---|---|---|
Core Courses | ||
MATH 6080 | Intro to Statistical Inference | 3 |
or CCCC 7300 | Quantitative Analysis | |
ECON 6230 | Econometrics | 3 |
PECN 6100 | Empirical Approaches to Political Economy | 3 |
PECN 6200 | Advanced MA Seminar for Political Economy | 3 |
Electives (pick 5 from the list) | 15 | |
Elements in Biomedical Informatics | ||
Introduction to Data Science for Biomedical Informatics | ||
Statistical Machine and Deep Learning in Biomedical Practice | ||
Data Management and Statistical Computing | ||
Introduction To ArcGIS | ||
Public Health GIS II | ||
Research Design | ||
Introduction to Data Science | ||
Intro to GIS | ||
Advanced GIS | ||
Linear Models | ||
Intro to Statistical Inference | ||
Applied Mathematics I | ||
Data Analysis | ||
Modeling and Analytics | ||
Web Analytics | ||
Advanced Modeling and Analytics | ||
Quantitative Methods I | ||
Quantitative Methods I | ||
Qualitative Methods | ||
One Additional Elective from the Following | 3 | |
Economics of Poverty | ||
Regulation | ||
Intl Trading Relations | ||
Health Econ & Policy | ||
Econ Public Expenditures | ||
Economics of Taxation | ||
Public Finance & Public Policy | ||
Comparative Economic Systems | ||
Labor & Pop In L.A. | ||
Econ Devel of Latin America | ||
Inequality and Poverty in Latin America | ||
Labor & Population in Lat Amer | ||
Seminar On Latin American Countries | ||
Economics of Education Policy and Reform | ||
Theories of Economic Justice | ||
Dissertation Prospectus Seminar | ||
Race, Crime and Control | ||
Total Credit Hours | 30 |