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Online Master's in Econometrics

Leverage Data to Drive Change

START HERE

Share a few details and we'll connect you with an enrollment coach to discuss your goals and next steps.

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At a Glance

Unlock the power of data-driven decision making with the University of Oklahoma’s fully online Master of Arts in Econometrics. In today’s data-first economy, organizations urgently need professionals who can turn complex economic data into clear, actionable insights that fuel business success.

In as few as 18 months, you will be ready to step into high-demand roles across a wide range of industries, including finance, healthcare, government, and beyond.

100% Online

Time to Complete:

18+ months

Credit Hours:

30

Time Commitment:

10 to 20 hours weekly

start dates

Fall & Spring

cost

Earning your master’s in Econometrics delivers a fast, high-impact return on investment by equipping you with specialized skills that position you as a strategic decision-maker.

Tuition for the program is $845 per credit hour, totaling $25,350 for the full 30-credit-hour degree. Books and additional materials are not included.

START HERE

Share a few details and we'll connect you with an enrollment coach to discuss your goals and next steps.

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About the master's in Econometrics online

Modern organizations thrive on data-driven strategies that fuel smarter decisions and sustainable growth. As technologies like artificial intelligence and machine learning redefine the landscape of econometrics and data analytics, businesses need skilled professionals who can harness these tools to solve complex economic challenges and deliver actionable insights.

OU’s 100% online Master of Econometrics is a 30-credit-hour program designed to equip students with advanced skills in statistical modeling, econometrics, programming, machine learning, and data storytelling. Through immersive, hands-on projects, students build fluency in industry-standard programming languages, including Python and R, and apply their expertise to real-world scenarios that mirror today’s business demands.

What Can I Do with the Degree?

The online Econometrics master's program focuses on applying advanced statistical methods to economics, finance, and the social sciences—unlocking career opportunities across a wide range of industries. Graduates are prepared to lead in sectors such as:

International trade
Government
Technical services
Public administration

Finance
Professional scientific services
Retail trade
Supply chain management

Industry Insights

Median Pay: $115,440
Job Outlook: Employment for economists is expected to grow 5% by 2033
Job Openings: 1,000 openings for economists are projected each year, on average, over the next decade

Source: U.S. Bureau of Labor Statistics

The median pay figures reflect earnings for professionals working in these occupations and may represent mid-career compensation. Entry-level salaries vary based on role, employer, experience, and geographic location.

Our Faculty

Jayash Paudel, PhD

Jayash Paudel, PhD

Associate Professor Jayash Paudel is an Associate Professor of Economics at the University of Oklahoma. His research focuses on environmental, energy, and development economics, examining how natural disasters, environmental policies, and resource management affect economic outcomes. His work has appeared in more than 30 academic journals, including the American Journal of Agricultural Economics and Energy Economics. His article, “Fertile Grounds: Navigating the Environmental Impact of Fertilizer Consumption,” received the 2025 Best Paper Award from the European Review of Agricultural Economics. Paudel co-directs OU’s Center for Peace and Development and serves as Managing Editor of World Development Perspectives. His research has received funding from the National Science Foundation and the National Institute of Food and Agriculture. He also received the Irene Rothbaum Outstanding Assistant Professor Award from OU’s Dodge Family College of Arts and Sciences. Paudel earned a PhD in Resource Economics from the University of Massachusetts Amherst and a BA in Mathematical Economics from Colorado College.

Judith Liu, PhD

Judith Liu, PhD

Assistant Professor Judith Liu is an Assistant Professor in the Department of Economics at the University of Oklahoma. Her research focuses on health economics, public economics, and labor economics, examining how public policies and economic conditions affect health care, household well-being, and economic outcomes. Her work has explored topics including health insurance incentives, prescription drug costs, food insecurity, income inequality, and the economic effects of public health crises. Her research has appeared in academic journals including American Journal of Agricultural Economics, Health Economics, Public Finance Review, and BMJ Open. Liu is a Research Affiliate at the Institute of Labor Economics (IZA) and a Research Fellow at the Global Labor Organization (GLO). Before joining OU, she served as a Research Fellow at the Melbourne Institute: Applied Economic & Social Research at the University of Melbourne. She earned a PhD in Economics from Syracuse University.

Myongjin Kim, PhD

Myongjin Kim, PhD

Associate Professor Myongjin Kim is an Associate Professor of Economics at the University of Oklahoma. Her research focuses on empirical industrial organization and applied econometrics, examining firm competition, pricing strategies, investment decisions, and consumer welfare. She uses statistical and economic modeling methods to analyze market outcomes and evaluate the effects of business decisions and public policies. Her work spans industries including aviation, housing, health care, digital platforms, and electric vehicles, with recent research exploring artificial intelligence and algorithmic pricing in airline markets. Her research has appeared in journals including Management Science, the International Journal of Industrial Organization, and the Journal of Economics & Management Strategy. Kim has received the International Journal of Industrial Organization Best Empirical Paper Award and OU's Merrick Foundation Teaching Award. She was appointed Associate Editor of the International Review of Economics & Finance in 2025 and presented research to the U.S. Department of Justice Antitrust Division in 2026. Kim earned a PhD in Economics from Boston University.

Ibrahim Kekec, PhD

Ibrahim Kekec, PhD

Lecturer Ibrahim Kekec is a Lecturer of Economics at the University of Oklahoma. His research focuses on econometrics, applied econometrics, machine learning, and labor economics, with an emphasis on using statistical and computational methods to examine economic questions. His work explores causal inference, treatment effects, instrumental variables, and the application of artificial intelligence and machine learning to economic analysis. Kekec's research also examines approaches to variable selection and statistical inference using traditional econometric and machine learning methods. His teaching experience spans econometrics, microeconometrics, machine learning, data analysis, data visualization with Python, and statistics at the undergraduate and graduate levels. Before joining OU in 2023, he served as a faculty member at Trinity College Dublin in Ireland. Kekec earned a PhD in Economics from Michigan State University.

Qihong Liu, PhD

Qihong Liu, PhD

Professor Qihong Liu is the President's Associates Second Century Presidential Professor, Director of Graduate Studies, and Professor of Economics at the University of Oklahoma. His research focuses on industrial organization and applied microeconomics, with particular interests in digital platforms, the digital economy, and pricing strategies. His work examines market competition and economic decision-making, with research published in journals including the Review of Economics and Statistics, Management Science, Marketing Science, and the Strategic Management Journal. His research has received funding from the U.S. Department of Agriculture and has been featured in publications including Bloomberg, Forbes, Harvard Business Review, and The Wall Street Journal. Liu serves as Co-Editor of the Journal of Economics & Management Strategy and holds editorial positions with several other academic journals. He previously served as President of the Chinese Economists Society from 2022 to 2023. Liu earned a PhD in Economics from Stony Brook University.

Program Outcomes: What You’ll Learn

The online master’s in econometrics equips you with the advanced tools to solve real-world economic challenges, make data-backed decisions, and communicate insights with clarity and impact.

Analyze large, complex economic and business data sets using advanced statistical modeling and econometric techniques to uncover trends, patterns, and insights that drive strategic decisions, policy development, and planning across industries
Select and apply the right advanced statistical and econometric models to solve real-world problems in finance, healthcare, government, retail, supply chain, and more
Communicate technical findings, data-driven insights, and economic concepts through compelling data visualizations, clear written reports, and engaging presentations tailored to both expert and general audiences

Program Outcomes: What You'll Learn

Course Details

The Econometrics online program consistently emphasizes the powerful connections between traditional econometric techniques and cutting-edge advancements in artificial intelligence and machine learning.

Elective courses deepen your expertise in econometrics and coding by exploring real-world applications in high-impact fields such as health economics, environmental economics, government and public policy, international trade and finance, and more.

Course Structure

You’ll complete 30 credit hours across 10 courses, taking at least two courses per semester to meet financial aid requirements. You’ll take two courses per semester. Spring and Fall courses run for 16 weeks, while Summer courses run for 14 weeks.

Each course will contain both asynchronous and synchronous components. Each course will use Zoom for weekly synchronous sessions:

Fall and Spring
- Sessions will be held on Tuesday - Thursday from 7:00-8:30 pm CT
Summer
- Session will be held on Tuesday – Thursday 7:00-9:00 pm CT

Synchronous sessions are optional for students and will be recorded for playback.

You can expect a time commitment of 10 to 20 hours on average per week for two courses.

Expand each section below to view more about the courses included in this program, including detailed course descriptions.

For complete curriculum information, including required courses and degree requirements, visit the program’s official Courseleaf page: View the full curriculum.

Mathematical Economics I

Credit Hours: 3

Investigation of several important models of economic activity. Emphasis on methods of analysis and interpretation involving construction of mathematical models reflecting the economic substance of these models. Implications for economic policy are considered.

Data Visualization and Analysis with Python

Credit Hours: 3

Students will acquire essential skills for transforming data into meaningful visualizations and performing data analysis using Python. Emphasizing the creation of clear and elegant graphs from data, students will delve into the art of exploratory data visualization. Additionally, the course covers regression analysis and fundamental classification methods, demonstrating their real-world applications through hands-on experience with real data sets.

Econometrics II

Credit Hours: 3

Examines topics and techniques in applied econometric analysis. Course topics include limited dependent variables, sample selection bias, systems of equations, and the use of econometric software.

Econometrics III

Credit Hours: 3

Topics and techniques in advanced econometric methods including time-series analysis and/or panel data analysis. May include applications in time-series econometrics such as ARMA models and VAR techniques; and applications in panel data econometrics including fixed effects, random effects and dynamic models.

Seminar in Growth

Credit Hours: 3

Endogenous growth theory, recent work on growth success and failures, regime switching models of growth, the effects of crises on long run performance, and the role of the IMF and World Bank in development. Other topics may include financial crises, corruption, etc.

Advanced Econometrics

Credit Hours: 3

Measurement of micro- and macro-economic relations, both static and dynamic. Comparative statics and dynamics; practical use of inference from non-experimental data. Identification and estimation problems.

Machine Learning and Causal Inference

Credit Hours: 3

This course explores the convergence of machine learning and causal inference, equipping students with the necessary skills to leverage the power of machine learning while investigating causal relationships in their analyses. It encompasses core machine learning techniques such as model selection, prediction, tree-based classification, and neural networks.

Data Science for Economists

Credit Hours: 3

This class will provide an overview of the data science workflow, from collecting raw data to drawing a set of insights from which a decision maker can make informed decisions. The course will broadly cover a variety of advances in data collection, data storage, visualization, machine learning, and econometrics topics, as well as teaching and reinforcing good programming practices.

Labor Economics I

Credit Hours: 3

This course is the first of a two-course sequence. Students will learn current research and theory at the frontier of labor economics. The basics of labor supply, demand, and equilibrium to build a basic theoretical foundation for research in labor economics will be covered. Field topics including immigration, education, discrimination, and marijuana legalization will be introduced.

Seminar in Public Economics

Credit Hours: 3

Survey of recent literature in the economics of public finance. Recent theoretical and empirical research will be examined.

Why Choose OU Online for a Master’s in Econometrics

OU Online delivers high-quality, affordable undergraduate and graduate programs in a flexible, fully online format—backed by the reputation of a top-tier public institution. The online master’s in Econometrics is thoughtfully designed to provide comprehensive training in data analysis, coding, machine learning, quantitative research, economic modeling, and other in-demand skills.

Faculty Expertise

Learn from distinguished faculty with deep expertise and real-world insight into the evolving field of econometrics.

Robust Student Support

OU Online offers a full suite of student support services, including academic advising, online tutoring, mental health counseling, and career development resources. The program is built to support working professionals, allowing you to advance your education while maintaining full-time employment.

Global Alumni Network

Join a global community of more than 250,000 OU alumni. As a Sooner, you gain access to a powerful network of professionals leading in finance, government, business, and beyond.

Flexible Format

The master’s in Econometrics is delivered in a fully online, flexible format built for working professionals around the world. Earn your degree in as few as 18 months while managing full-time work and personal commitments. Study from anywhere and gain in-demand econometrics expertise that fits your schedule.

Gain a Competitive Edge

The program features four applied courses that focus on real-world applications across both public and private sectors. Students have the opportunity to publish their work while earning their degree. Many courses include project-based learning, and students can collaborate with faculty to transform class projects into publishable journal articles—giving you a competitive edge in the job market.

Cost & Financial Aid

Earning your master’s in Econometrics is a powerful investment in your future, and OU Online is committed to keeping that investment clear, accessible, and worthwhile.

Students pay $845 per credit hour*, bringing the total tuition to $25,350 for the 30-credit-hour program. Books and additional materials are not included.

Financial aid, scholarships, and employer tuition assistance may be available to help reduce your out-of-pocket costs. For questions about financial aid for your online program, contact the Online Aid office at onlineaid@ou.edu or 405-325-2929.

A nonrefundable deposit of $350 is required upon admission to secure your place in the program. This deposit guarantees your spot in your first semester of courses and will be applied toward your first semester’s tuition.

* Please be aware that tuition and fees may change, as determined by the Oklahoma State Regents for Higher Education.

Take the Next Step

To apply to the Online Master of Arts in Econometrics program, applicants must:

Hold a bachelor’s degree from a regionally accredited college or university (or international equivalent)
Complete the online application at https://gograd.ou.edu/apply/
Submit official transcripts from all previously attended institutions*
Provide a current professional resume detailing education and relevant work experience
Provide a 300-to-500-word personal statement that outlines your goals
Submit a written personal statement
International applicants whose first language is not English must submit TOEFL or IELTS scores

*Sealed official transcripts from all previous institutions should be sent directly to the University of Oklahoma.

Sending digitally is preferred to gradadm@ou.edu.

If you are sending physical copies, please send to:

Office of Graduate Admissions
731 Elm Avenue, Room 213
Norman, OK 73019

Application Timeline

The admissions committee reviews applications on a rolling basis. Admissions remain open until two weeks before the start of classes, giving you flexibility to apply when the time is right.

A nonrefundable deposit of $350 is required upon admission to secure your place in the program. This deposit guarantees your spot in your first semester of courses and will be applied toward your first semester's tuition.

Step 1

Contact an Enrollment Coach to discuss your qualifications and interest in the program.

Step 2

Complete the online application.

Step 3

Provide supplemental materials, including a resume, official college transcripts, and a personal statement.