Online Master of Ag and Applied Economics
Our degree program offers exceptional value, with a fixed cost regardless of your location.
Students choose our program for its convenience, the unwavering support of our dedicated faculty, and the prestigious Virginia Tech brand. In today’s fast-evolving job market, organizations are increasingly looking for professionals who can effectively analyze and interpret data. With our specialized degree, you'll gain the skills to excel in a wide range of industries.
Specialized skills in economic modeling, data analytics, econometrics, forecasting, and both micro- and macroeconomics.
We integrate practical tools and frameworks with real-world issues in industry and government, offering applied coursework in areas like commodity markets, pricing, and the contemporary challenges facing food systems.
Opportunities abound in roles such as market analyst, policy analyst, commodities trader, supply chain logistics specialist, business economist, or any position related to data analytics. Read more
Virginia Tech’s online degree delivers the same high-quality education as our on-campus program—your diploma will reflect this, with no mention of “online.”
In the news...
Your investment
Tuition and cost
2025 -2026
$1,106.00 per credit
This is a self-funded graduate program.
Your curriculum
Program structure
Asynchronous course delivery in the Canvas platform
Admission requirements
- Basic statistics
- Intermediate microeconomics
- Introduction to differential calculus
- 3.0 GPA (4+1 program 3.3 GPA)
Admission requirement resources
Canvas math modules are available upon acceptance for those who would like refresher content before starting coursework. For those desiring more formal background coursework, online calculus and statistics courses are available from your local community college or other educational institution. Examples of self-paced courses are below.
- Introduction to Statistics, Berkeley Extension
- Calculus with Business and Economic Applications, LSU Online
- Data management and visualization in econometrics and forecasting
- Technical skills in R and Python programming
- Critical thinking and analytical skills required to frame business and policy questions using economic analysis