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
2. M.S. in Statistics
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).
Research News
-
UD’s Insect Research Collection provides Solomon Hendrix the tools to turn a passion for identifying insects into a future in entomological discovery
July 22, 2025 | Written by Nya WynnThrough the UD Insect Research Collection, Solomon Hendrix found a home for his passion for taxonomy and insect identification. Under the mentorship of Charles Bartlett, Hendrix published 12 academic papers and identified 12 new genera of planthoppers — an extraordinary feat for an undergraduate student. -
Economics meets the environment
July 08, 2025 | Written by Nya WynnEmma Aucker, now a senior environmental and resource economics (ENRE) major at UD, knew she wanted to go into a career related to the environment, shaping policy rather than through fieldwork. Now, after being at UD for three years, the program has allowed her to blend her passion for the environment with policy by using the decision-making tools of economics. -
Carbon credit quality
May 20, 2025 | Written by Katie Peikes | Photo by Evan KrapeUniversity of Delaware’s Rodrigo Vargas is among a group of leading forest scientists around the U.S. arguing in a new review that forest carbon market protocols are flawed and don’t ensure that issued carbon credits accurately account for reduced and removed CO2 emissions. The researchers say improvements could boost forest carbon credits’ quality and drive up demand as well as confidence in the market.
