Designed to guide students through economic modeling and theory to cutting-edge analytical tools, providing thorough training in descriptive, predictive, and prescriptive analytics.
What Alumni Say
“The program provided me with the set of tools, experiences and connections that set me up to be a successful PhD candidate and researcher.”
Ramon Zumaran, '21
Ph.D. Candidate · Carnegie Mellon University
“This program equipped me with a blend of technical and business-functional knowledge that I could apply directly to my work, helping me succeed in my role and stand out in my career.”
Katie Games, '22
IT Product Manager · Tyson
“I'm most grateful for the technical skills this program gave me to ask and answer real economic research questions.”
Savannah Gunnoe, '26
Economist · Bureau of Labor Statistics
The Walton Advantage
Career Outcomes & ROI
Our graduates move fast — into new industries, leadership roles, and organizations that shape the global economy.
One Year
This two-semester program begins in August and ends in May. (one academic year)
Final deadline: July 1
International applicants:
February 15
Priority (domestic applicants):
April 15
Final (domestic applicants):
July 1
Fall
GMAT or GRE
Applicants with an undergraduate GPA of 3.2 or higher or at least three years of relevant professional work experience may be considered for a GMAT/GRE waiver, subject to review and approval by the admissions committee. Please review our master’s admissions policies.
Curriculum
Every course is designed around what you’ll actually do with it.
ECON 52603: Applied Microeconomics - The framework for this course is the economic way of thinking. Both the theory and application of important economics questions are presented, showing students the applicability of various economic methodologies in a number of different contexts. To gain competence in the applied side of economic analysis, students will use MS Excel or other software to apply class concepts to solve concrete problems.
ECON 57403: Introduction to Econometrics - Introduction to the application of statistical methods to problems in economics. Graduate degree credit will not be given for both ECON 47403 and ECON 57403.
ECON 57503: Forecasting - The application of forecasting methods to economics, management, engineering, and other natural and social sciences. The student will learn how to recognize important features of time series and will be able to estimate and evaluate econometric models that fit the data reasonably well and allow the construction of forecasts. Graduate degree credit will not be given for both ECON 47503 and ECON 57503.
ECON 57803: Applied Microeconometrics - This course covers the principles of causal inference. Methods include panel data models, instrumental variables, regression discontinuity designs, difference-in-differences, and matching. Emphasis on developing a solid understanding of the underlying econometric principles of the methods taught as well as on their empirical application.
ECON 58103: Economic Analytics I - Part one of the capstone in the Masters in Economic Analytics. The course provides an overview of modern statistical learning methods, including Machine Learning, along with hands-on experience of in-depth analytics exercises using real data. Students make use of the most advanced learning libraries available in Python to gather and organize data as well as to train, validate, and test their empirical models.
ECON 58203: Economic Analytics II - Part two of the capstone in the Masters in Economic Analytics. Students (i) develop capstone topics, (ii) formulate hypotheses, (iii) find appropriate datasets, and (iv) analyze their data to test hypotheses using the econometric models and techniques that they have learned over the course of the program.
ECON 58303: Data Exploration and Communication for Economics - The course focuses on developing the skills to acquire, prepare, explore, and analyze different types of data, and communicate the results. Topics include understanding the structure of business and economic data, preparing data for analysis, fundamentals of exploratory data analysis, and presentation and communication of the results.
ECON 58403: Economic Policy and Data Analysis - The course focuses on developing economic and data analysis skills to understand international, national, and regional macroeconomic policies. It emphasizes the use of data and economic theory to study macroeconomic indicators, macroeconomic topics such as national and regional income growth, monetary policies, employment, exchange rate regime; and other policy issues such as migration, environment and agriculture, and urban development.
ISYS 51003: Data Analytics Fundamentals - Fundamental knowledge and skills in several major areas of business data analytics. Emphasis on the management and use of data in modern organizations, intermediate & advanced spreadsheet topics; relational databases & SQL; and programming (such as Python).
3 hours of approved ECON elective.
Program Format
Economic Modeling and Analytics
Computational Tools and Methods
Applied Economic Analytics Experience
4+1 Option
Student Experience
Career support is an integral component to the Walton student experience.
Personalized career coaching to launch your career or accelerate your next move.
Present original research that turns complex, real-world questions into evidence-based insights.
Hands-on preparation for every recruiting conversation.
Leverage the power of the Walton alumni network.
Program Fit
The Walton Master of Science in Economic Analytics is an intensive, quantitatively focused program built around a small, collaborative cohort. Admissions consideration is selective.
Are you prepared for quantitative coursework?
Competitive candidates demonstrate strong analytical ability and readiness for coursework in economics, statistics, data analysis and programming.
Do you have clear career goals?
Strong candidates can clearly explain how advanced economic and analytical skills will help them achieve their career goals.
Student Voice & Proof
Stories and perspectives from students, alumni, and faculty — straight from the program.
Applying for a graduate program is more than completing forms and submitting documents. It’s a chance to tell your story and define your next chapter.
05/21/2026 | By Jaime Tucker
Meet Savannah Gunnoe, the Master of Science in Economic Analytics program's 2026 Graduate Outstanding Program Scholar.
04/22/2026 | By Jenni Wiltz
Local business leaders, policymakers, and community members gathered to find out: what economic trends are likely to shape the economy in 2026?
02/12/2026
FAQ
Everything you need to know before you apply. Don't see your question? Reach out to the graduate programs office.
Students begin in August and complete the degree in May, progressing through the curriculum together over two semesters.
Because of the program’s accelerated pace and quantitative rigor, students should expect graduate study to be their primary commitment. Full-time employment while enrolled is generally not recommended.
Students develop expertise in:
The emphasis extends beyond learning software. Students use these tools to organize data, estimate and test models, develop forecasts, evaluate evidence and communicate meaningful findings.
This economic perspective helps graduates investigate why an outcome occurred, forecast how conditions may change and evaluate the likely effects of different decisions.
Because the curriculum moves quickly, applicants should be prepared for rigorous work involving economic reasoning, statistics, data analysis and programming. Admissions reviewers consider each applicant’s academic preparation and overall readiness for the program.
Students receive training in Python and R while applying computational methods to economic and business questions. Comfort with quantitative problem-solving and a willingness to develop technical skills are important for success.
Working in small teams, students:
The experience culminates in the Economic Analytics Master's Poster Session, where students present their methods, findings and real-world implications.
Potential career paths include:
Graduates are prepared to analyze markets, forecast trends, evaluate policies and translate complex data into insights that support organizational decisions.
Students benefit from:
The curriculum integrates economics, statistics, programming, machine learning and advanced analytical methods to prepare students to work with complex data and solve quantitative problems.
This option can help well-prepared students begin working toward the MSECAN before completing their undergraduate studies. Interested students should speak with the program or an academic advisor early to review eligibility and course planning.
Additional tuition may apply for out-of-state and international students. Tuition and fees are subject to change. Students should also plan for expenses not included in the published estimate, such as housing, books, technology, transportation and other personal educational costs.
Students seeking federal financial aid should complete the Free Application for Federal Student Aid and review Walton’s available financial-assistance resources.
Applicants may also qualify with at least three years of relevant professional experience, as evaluated by the admissions committee. Applicants who do not qualify for a waiver will need to submit a valid GMAT or GRE score.
Unofficial transcripts may be submitted for the initial application review. Official transcripts are required to finalize admission. Review the complete master’s application requirements before applying.
Current application deadlines are:
