Students in the Master of Science in Applied Economics and Predictive Analytics program take class in Dallas Hall.

Graduate programs

Master of Science in applied economics and predictive analytics

A data-driven, analytic graduate program to meet industry demand

Program format

In person

Commitment

Full time or part time

Duration

1.5 years or more

Overview

SMU’s highly ranked economics master’s programs transform business-oriented and tech-savvy students into professional economists, business analytics experts and business leaders. Ranked in the top 27% of economics master’s programs in the U.S. by the TFE Times, the program offers innovative graduate degrees that emphasize theoretical rigor as well as technical quantitative and predictive analytics training across a wide array of courses.

The Master of Science in applied economics and predictive analytics (M.S.A.E.P.A.) is a degree offered by the Department of Economics to meet the accelerating demand for analytics training on the part of business, government and nonprofits. Predictive analytics refers to the process of building models that forecast consumer behaviors under different circumstances and help customize product offerings that better suit consumers’ tastes and preferences. It also refers to using data to build models to predict time series variables of importance to businesses and governments, like product sales and tax revenues, and to evaluate competing government programs and business strategies. With courses in forecasting, econometrics, trade policy and strategic behavior, the M.S. degree focuses on economic analysis and decision-making along with technical quantitative training, providing additional skills typically found in statistics, engineering and business programs.

The M.S.A.E.P.A. is a 30-credit-hour degree with evening classes to accommodate students with full-time regular employment or internships.

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Student success

A graduate degree in economics from SMU prepares students for a wide range of careers through rigorous analytical training, data science and data management tools.

This program prepares you to excel in the following areas and professions:

  • Business and economic analytics
  • Data analytics and data science
  • Financial services and banking
  • Corporate strategy and planning
  • Public policy and economic policy analysis
  • Supply chain and operations analytics
  • Real estate and urban economics
  • Government agencies and central banks

Top 20%

Best National Universities

U.S. News & World Report (2026)

9:1

graduate student-to-faculty ratio

30+

graduate study programs at Dedman College of Humanities and Sciences

Student stories

Kelly L. Garcia, ’24

“The professors I had the opportunity to learn from were truly experts in their fields. Those connections extended beyond the classroom and helped shape the way I think about policy, data, and real‑world problem solving.”

Requirements

  1. Application
  2. Application fee
  3. Official transcripts
  4. English language proficiency documentation (if applicable)
  5. A baccalaureate degree from an accredited institution; a minimum undergraduate grade-point average of 3.0 (on a 4.0 scale). Satisfactory GRE graduate school admission test scores if the undergraduate GPA is lower than 3.0.

View all requirements

Ready to apply?

Get started here.

Tuition and financial aid

Tuition and costs

Explore the cost breakdown of tuition for graduate programs.

Financial aid

Find information on scholarships and financial support available at SMU.

Curriculum and learning

Featured courses

ECO 6380

Predictive Analytics for Economists

Apply data mining and machine learning techniques to analyze large datasets and predict economic and business outcomes, including consumer behavior, sales and policy impacts.

ECO 6354

Economic and Business Forecasting

Study modern forecasting methods used to predict economic and business trends, including time-series modeling and evaluation of forecast performance in real-world applications.

ECO 6352

Applied Econometric Analysis

Develop and apply econometric models to analyze real-world data – including discrete choice, panel data and time-series methods – with applications to business and policy decision-making.

Faculty

The Dedman College faculty consists of accomplished experts across the field of economics and finance with a primary focus on providing an exceptional education. Collectively, they represent many areas of expertise and are widely published in top economic journals. Our faculty members win major academic awards and belong to prestigious research bodies like the National Bureau of Economic Research and Institute of Labor Economics.

Frequently asked questions

To put it simply, a master’s degree in applied economics and predictive analytics (M.S.A.E.P.A.) trains you to gather data, organize it and use it to write research and present meaningful conclusions to influence business decisions. The type of work depends on the type of data being used— everything from inventory to sales and tax revenues. This degree is ideal for those seeking careers in data analytics, data consulting and forecasting. This graduate degree positions you to launch a career in areas such as economic development, strategic planning, financial and business analysis, consulting and applied research.

Applied economics and predictive analytics uses economic theory, statistical modeling and machine learning to analyze real-world issues. These results are used to inform business strategy or policy. Economics is more theoretical, academic and mathematical in scope. And data science is purely concerned with technical skills such as programming and algorithms to build models to predict outcomes. 

A master’s degree in applied economics and predictive analytics opens doors to diverse career paths, including:

  • Business and economic analytics
  • Data analytics and data science
  • Financial services and banking
  • Corporate strategy and planning
  • Public policy and economic policy analysis
  • Supply chain and operations analytics
  • Real estate and urban economics
  • Government agencies and central banks

According to the U.S. Bureau of Labor Statistics, the median annual salary for the top 10% of market research analysts was $145,000 in 2024. And the job outlook for market research analysts is projected at 7% annually through 2034, much faster than average growth over other occupations (3%).

With a Master of Science in applied economics and predictive analytics (M.S.A.E.P.A.), you will gain practical skills in quantitative and econometric analysis, predictive analytics and machine learning, data management and software languages, research and data-driven decision making, translating economic principles into business strategies and forecasts and reports using data visualization.

Applied economics programs at SMU focus heavily on practical tools like STATA, R, Python and SAS software for data analysis, econometric modeling and forecasting.

Real-world data projects and applied research are central to the SMU Master of Science in applied economics and predictive analytics, as it is designed to bridge economic theory with practical industry applications. The program emphasizes building predictive models for consumer behavior, product sales and policy evaluation to prepare graduates for roles in business, government and non-profit sectors.

Real-world projects in the program include using tools like Python, R and STATA and advanced econometrics to analyze real-world economic data, predictive modeling scenarios, and electives that emphasize practical applications and simulate consulting scenarios. Applied research involves projects analyzing economic trends and making data-driven decisions.