Online Master's in Econometrics
Leverage Data to Drive Change
YOUR FUTURE STARTS HERE
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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.
YOUR FUTURE STARTS HERE
Complete the form below to learn more about our online programs and how to get started.
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
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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
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.
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.
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YOUR FUTURE STARTS HERE
Complete the form below to learn more about our online programs and how to get started.
