Agricultural policy making
Graduate Programs
The Department of Applied Economics and Statistics offers graduate master’s programs focused on the study of quantitative economics, international agricultural trade, economic development and resource economics, marketing and policy.
Graduate degree programs include:
1. M.S. in Agricultural and Resource Economics
3. M.S. in Applied Statistics (online)
4. Ph.D. in Statistics Data Science
Additionally, the department participates in the interdisciplary M.S. in Data Science program. Degree requirements include coursework from three departments (and colleges): the Department of Mathematical Sciences (Arts and Science), the Department of Applied Economics and Statistics (Agriculture and Natural Resources) and the Department of Computer and Information Sciences (Engineering).
UD ranks in the Top 100 Graduate Programs in Statistics.
Research News
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5 things to know about ticks this summer
August 21, 2026 | Written by UDaily StaffBlue Hen faculty, students and alumni in the College of Agriculture and Natural Resources (CANR) work to advance our understanding of ticks and Lyme disease. Here are five things they want everyone to know before heading outdoors. -
Global crops and drought
July 30, 2026 | Written by Adam Thomas | Illustration by Jeffrey C. ChaseA new study from the University of Delaware’s Kyle Davis examined production losses for 17 major crops accounting for three-quarters of the world’s food production and found that portions of the Midwestern United States, eastern Brazil, eastern Spain, and central and northern India were among the areas most sensitive to droughts. -
AI flower power
July 27, 2026 | Written by Katie Peikes | Photo illustration by Jeffrey C. ChaseYin Bao, University of Delaware assistant professor of digital agriculture, built a specialized AI tool called FLORIST to automatically analyze thousands of plant photos taken by everyday people, instead of manually sorting through 44,000 images. FLORIST efficiently filtered out the vast majority of photos that did not show active flowering, narrowing the dataset. Bao says the main takeaway is blending widespread public observations with deep genetic research gives a more complete understanding of how species evolve to survive in the wild.
