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Develop a rigorous foundation in economic theory, quantitative methods, and data analytics to investigate complex questions, generate evidence-based insights, and prepare for doctoral study and analytical careers.
Program Snapshot
Graduate credit hours
Designated program
R, Python and STATA
Preparation for doctoral study
Program Overview
The Master of Science in Economics with Data Analytics provides students with a theoretical foundation in economic concepts and hands-on experience with large datasets and statistical software used in both public and private sector work, as well as academic research and doctoral preparation.
Students develop graduate-level preparation in microeconomics, macroeconomics, mathematical economics, econometrics, forecasting, panel data methods and applied programming.
Analytical Pathway
Study microeconomic and macroeconomic theory as the foundation for applied analysis.
Strengthen mathematical economics, econometrics and data interpretation skills.
Work with tools including STATA, R and Python to analyze real-world datasets.
Prepare to support forecasting, policy analysis, market research, doctoral study and business decision-making.
Credit hours
Graduate coursework in economics, econometrics, analytics and advanced topics.
Designation
A STEM-designated economics program with a data analytics emphasis.
Core tools
Hands-on exposure to STATA, R and Python for applied analysis.
Advanced-topics hours
Three additional courses allow students to build applied analytical depth.
Program Value
The M.S. in Economics with Data Analytics connects economic theory with applied data work, giving students a graduate foundation for analytical roles across business, public policy, research and financial environments.
Build a graduate foundation in microeconomic and macroeconomic analysis.
Learn methods used for regression, forecasting, panel data and discrete choice models.
Use statistical software and programming tools to work with large datasets.
Prepare to analyze markets, policy questions, financial conditions and business trends.
Curriculum
The degree plan includes 12 credit hours of economic core coursework, 9 credit hours in advanced econometrics and applied courses, and 9 credit hours of advanced-topics courses.
Students should consult the official catalog and graduate advisor for the most current degree requirements, course availability and degree planning.
ECON 5302
ECON 5303
ECON 5305
ECON 5370
ECON 5371
ECON 5372
ECON 5310
ECON 5368
ECON 5330
ECON 5334
ECON 5393
Note: Advanced-topics courses are provided based on faculty availability.
Fast Track
Eligible UTEP BBA and BA Economics majors can begin graduate-level economics coursework while completing the undergraduate degree.
The Fast Track option can reduce the cost of the M.S. Economics degree and shorten the time needed after graduation.
Students admitted to Fast Track may complete up to five graduate courses within the undergraduate degree plan, creating a shorter and more affordable route into the M.S. in Economics with Data Analytics.
Applicants should submit all required materials before an admission decision can be made.
Applicants should review Graduate School requirements and consult the program coordinator with questions about academic preparation.
Application deadlines vary by term and applicant type.
U.S. applicants: July 15
Mexican applicants: May 1
Other international applicants: April 1
U.S. applicants: November 15
Mexican applicants: October 1
Other international applicants: September 1
U.S. applicants: May 1
Mexican applicants: February 1
Other international applicants: January 1
Outcomes and Pathways
The program is designed for students who want to combine economic reasoning with applied data analytics, forecasting, quantitative decision support and preparation for advanced study.
The program can serve as a strong bridge to doctoral study by giving students graduate training in theory, econometrics, programming and applied research methods.
Graduate economics training with data analytics can support analytical roles in organizations that depend on forecasting, market research, policy analysis and decision support.
The degree is designed for students who want to apply economic reasoning and data analysis to real decisions.
Questions
Use this section to answer the highest-value questions quickly and reduce the amount of hunting students have to do across multiple sources.
Yes. The official catalog identifies the M.S. in Economics with Data Analytics as a STEM-designated program.
The program requires 30 graduate credit hours.
The program emphasizes hands-on experience with large datasets and statistical software packages, including STATA, R and Python.
Prospective students should have completed coursework in intermediate economic theory and quantitative methods before applying. Students with diverse backgrounds should contact the program coordinator regarding preparation and possible leveling courses.
Yes. The program’s graduate coursework in economic theory, econometrics, forecasting, panel data methods and applied programming can help prepare students for Ph.D. study in economics or related analytical fields.
Students may contact John Gibson, Ph.D., M.S. Economics Coordinator, at jdgibson@utep.edu or 915-747-5435.
Questions about admission, coursework, preparation or program fit can be directed to the M.S. Economics coordinator.
John Gibson, Ph.D.
M.S. Economics Coordinator
Business Administration Building (BUSN)
Room 244
The University of Texas at El Paso
Phone: 915-747-5435
Email: jdgibson@utep.edu
Apply to the M.S. in Economics with Data Analytics and build the economic, quantitative and analytical preparation to move toward your next opportunity.