The Master of Arts in Political Economy with a Data Analytics Emphasis is a three-semester interdisciplinary program. The major goal of the program curriculum is to train public policy specialists using advanced technologies and data analytics. This program is available for Tulane undergraduate students as well as external candidates.
The MA-PECN requires (30) credit hours of graduate coursework that includes 9 credits of core courses and 21 hours of electives from a wide range of Tulane schools and departments.
| Course ID | Title | Credits |
|---|---|---|
| PECN 6100 | Empirical Approaches to Political Economy | 3 |
| ECON 6200 | Advanced MA Seminar for Political Economy | 3 |
| PECN 6970 | Mathematics for Data Analysis | 3 |
| 9 |
Methods-Based Electives (15 credits):
Students select five data analytics electives in consultation with the MA-PECN Program Director that are relevant to their program goals. These may include courses in biomedical informatics, mathematics, biostatistics, environmental science, public health, political science, economics, or any school or department at Tulane. The list below provides examples of eligible elective in data analytics. Additional Electives may be approved by the Program Director.
| Course ID | Title |
|---|---|
| BIMI 6100 | Elements in Biomedical Informatics |
| BIMI 6200 | Introduction to Data Science for Biomedical Informatics |
| BIMI 7100 | Statistical Machine and Deep Learning in Biomedical Practice |
| BIOS 6290 | Data Management and Statistical Computing |
| BIOS 6300 | Introduction to ArcGIS |
| BIOS 6800 | Public Health GIS |
| CCCC 7200 | Research Design |
| CMPS 6100 | Introduction to Computer Science |
| CMPS 6160 | Introduction to Data Science |
| CMPS 6240 | Intro to Machine Learning |
| CMPS 6340 | Introduction to Deep Learning |
| CMPS 6360 | Data Visualization |
| CMPS 6730 | Natural Language Processing |
| ECON 6230 | Econometrics |
| EENS 6150 | Intro to GIS |
| EENS 6030 | Advanced GIS |
| EENS 6180 | Intro Remote Sensing |
| EENS 6380 | Remote Sensing for Env Anlys |
| EENS 6390 | Geospatial and Numerical Methods |
| MATH 6020 | Mathematical Statistics |
| MATH 6040 | Linear Models |
| MATH 6080 | Intro to Statistical Inference |
| MATH 6310 | Scientific Computing I |
| MATH 6370 | Time Series Analysis |
| MATH 7310 | Applied Mathematics I |
| MATH 7360 | Data Analysis |
| MGSC 7310 | Modeling and Analytics |
| MGSC 7340 | Web Analytics |
| MGSC 7520 | Adv Modeling and Analytics |
| POLS 7112 | Quantitative Methods I |
| POLS 7114 | Qualitative Methods |
Topics-Based Electives (6 credits)
Students select two additional elective in a topic relevant to political economy. Refer to the list below for examples of political economy electives. Additional Electives may be approved by the Program Director.
| Course ID | Title |
|---|---|
| ECON 6680 | Economics of Poverty |
| ECON 6300 | Regulation |
| ECON 6330 | International Trading Relations |
| ECON 6500 | Health Economics & Policy |
| ECON 6520 | Economics of Public Expenditures |
| ECON 6530 | Economics of Taxation |
| ECON 6540 | Public Finance & Public Policy |
| ECON 6560 | Comparative Economic Systems |
| ECON 6580 | Labor & Population In Latin America |
| ECON 6590 | Economic Development of Latin America |
| ECON 6600 | Inequality & Poverty in Latin America |
| ECON 6660 | Seminar on Latin American Countries |
| ECON 6710 | Economics of Education Policy and Reform |
| PHIL 6510 | Theories of Economic Justice |
| POLS 7116 | Dissertation Prospectus Seminar |
| SOCI 6130 | Race, Crime and Control |
Sample Schedule
While the program is designed for a three-semester timeline, there is flexibility in course selection and credit hour distribution each term. Additionally, students may opt for a fourth semester if necessary to accommodate their academic or professional goals.
Three Semester Sample Schedule
4+1 Program
The 4+1 program offers a streamlined path to earning an MA in Political Economy with Data Analytics and is open to Tulane undergraduate students of all academic backgrounds. While all students must meet the program prerequisites before beginning the +1 portion of their studies, the program is designed to accommodate those with or without prior coursework in related fields. Students must apply through the School of Liberal Art’s Graduate Admissions Office and be accepted into the program before taking any graduate-level classes.
Contact Professor Justin Cook for more information.
