2022-2023 Graduate Catalog [ARCHIVED CATALOG]
Department of Applied Economics and Statistics
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 Return to: College of Agriculture and Natural Resources
Applied Economics and Statistics
Telephone: (302) 831-2511
https://www.udel.edu/academics/colleges/canr/departments/applied-economics-and-statistics/graduate-programs/
Faculty Listing: https://www.udel.edu/academics/colleges/canr/departments/applied-economics-and-statistics/faculty-staff/
The Department of Applied Economics and Statistics is a department at the intersection of people, problems, and solutions. We are an interdisciplinary department that focuses on developing and using rigorous statistical and economic analysis targeted in application to the Food System, and Environmental and Natural Resource issues. We offer three graduate degrees, all at the MS level, in Agricultural and Resource Economics, Statistics, and Applied Statistics.
Agricultural and Resource Economics (MS)
Program Overview
The program in Agricultural and Resource Economics leads to the Master of Science degree and offers students the perspectives and skills necessary to understand and work in the general fields of applied economics, agricultural and food economics, resource economics, environmental economics, agribusiness, or for related government agencies. Also, a strong intermediate level of training is offered so that students may continue graduate work and obtain a PhD degree. Graduates of the Agricultural and Resource Economics (AREC) MS program will be able to:
- Review and synthesize peer-reviewed literature and identify critical knowledge gaps.
- Critically discuss theoretical frameworks in microeconomics and the implications of using these frameworks to analyze human behavior.
- Demonstrate a fundamental understanding of theories and methods related to agricultural and food policy, environmental and resource economics, behavioral economics, experimental economics, and stated preference research.
- Formulate research questions and develop a research plan that addresses a meaningful question in applied economics using appropriate methods.
- Execute a research plan by applying quantitative skills in econometric modeling using best practices for data collection, management, and analysis.
- Effectively communicate applied economics research to diverse audiences and stakeholders through written and verbal communication skills.
- Discuss contemporary issues in applied economics research and apply best practices to demonstrate responsible and ethical professional conduct that respects diverse perspectives and promotes inclusivity.
Requirements for Admission
On a 4.0 system, applicants should have a G.P.A. of at least 2.5 and an average of at least 3.0 in economics, mathematics, and related areas. Applicants who have completed an advanced degree must have done so with a G.P.A. of at least 3.0. In addition, applicants must take the GRE Aptitude Test however, the GRE requirement can be waived in special circumstances. Students for whom English is not their first language must meet a minimum of 100 on the TOEFL IBT examination. Admission to the Agricultural and Resource Economics Program is based on selections made by the Department graduate committee in compliance with University policies and procedures. Admission is selective and competitive based on the number of well-qualified applicants and the limits of available faculty and facilities. Those who meet stated minimum academic requirements are not guaranteed admission, nor are those who fail to meet those requirements necessarily precluded from admission if they offer other appropriate strengths. Candidates for admission to the Agricultural and Resource Economics program need not have majored in any specific undergraduate field as a prerequisite for admission. However, competence is expected in economics (at least the intermediate undergraduate level), basic statistics, calculus, and other quantitative coursework.
Applied Statistics (MS)
Program Overview
The M.S. in Applied Statistics provides a broad exposure to statistical theory while focusing on hands-on applications and model building using a case study approach. The “applied” aspect of our program will be focused on using real data and making real decisions in analysis.
Graduates of the Applied Statistics M.S. program will be able to:
- Demonstrate knowledge of statistical foundations in probability and mathematical statistics.
- Apply statistical tools such as regression, design of experiments, logistic regression and models of counts, and multivariate methods.
- Effectively use various software platforms including SAS, JMP, R and Python.
- Analyze a variety of data types and apply appropriate techniques as required by specific attributes of the problem and research goals.
- Conduct supervised statistical research that applies the tools and methods of statistics and data analysis.
- Demonstrate responsible and ethical professional conduct that respects diverse perspectives and promotes inclusivity.
Requirements for Admission
On a 4.0 system, applicants should have a G.P.A. of at least 2.5 and an average of at least 3.0 in mathematics and related areas. Applicants who have completed an advanced degree must have done so with a G.P.A. of at least 3.0. In addition, applicants must take the GRE Aptitude Test with at least a score of 1050 in quantitative math and verbal (with an emphasis on the quantitative) for the traditional test. Students taking the new GRE exam should have a minimum of 300 combined on verbal and quantitative reasoning. Students for whom English is not their first language must meet a minimum of 85 on the TOEFL IBT examination. Admission to the Statistics Program is based on selections made by the department graduate committee in compliance with University policies and procedures. Admission is selective and competitive based on the number of well-qualified applicants and the limits of available faculty and facilities. Those who meet stated minimum academic requirements are not guaranteed admission, nor are those who fail to meet those requirements necessarily precluded from admission if they offer other appropriate strengths.
Statistics (MS)
Program Overview
The Statistics M.S. Program provides a balance of a foundation in theoretical statistics, applied coursework in statistical techniques, and opportunities for application of statistical knowledge.
Graduates of the Statistics M.S. program will be able to:
- Demonstrate knowledge of the theoretical foundations of statistics and data analytics.
- Understand and utilize statistical and data mining techniques to solve modern data problems applicable to diverse business and science applications.
- Apply advanced statistical programming, cloud computing, and database management skills with modern statistical and database software platforms.
- Communicate data analytics and statistical learning outcomes effectively in oral presentation and writing with critical and inferential thinking both as an independent analyst and in collaborative environments.
- Adapt advanced statistical techniques and programming to modern industry applications.
- Demonstrate responsible and ethical professional conduct that respects diverse perspectives and promotes inclusivity.
Requirements for Admission
On a 4.0 system, applicants should have a G.P.A. of at least 2.7 and an average of at least 3.0 in mathematics and related areas. Applicants who have completed an advanced degree must have done so with a G.P.A. of at least 3.0. Students are strongly encouraged but not required to take the GRE for admission. The program will also accept similar exams, including the GMAT or GRE Subject Tests (in STEM fields). Applicants will be automatically considered for departmental funding. Priority for funding will be given to students demonstrating high proficiency in mathematics, statistics, or other quantitative skills. Submitted GRE or similar test scores and/or previous graduate education would aid in demonstrating this proficiency.
For applicants whose first language is not English, and who have not received a degree at a U.S. college or university, the following minimum test scores are required on the TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing System) exam:
- For admission without department funding:
- For admission with the possibility of departmental funding:
Admission to the Statistics Program is based on selections made by the department graduate committee in compliance with University policies and procedures. Admission is selective and competitive based on the number of well-qualified applicants and the limits of available faculty and facilities. Those who meet stated minimum academic requirements are not guaranteed admission, nor are those who fail to meet those requirements necessarily precluded from admission if they offer other appropriate strengths.
Candidates for admission to the statistics program need not have majored in any specific undergraduate field as a prerequisite for admission. However, the Master of Science in Statistics requires solid preparation in both calculus (generally three semesters) and linear algebra along with some preparation in statistics.
Applicants should have taken at least two semesters of Calculus (three semesters of Calculus are preferred) and one semester of linear algebra before enrollment. At least one statistics course is desired before the enrollment. Conditional admission is possible if the applicant can make up all the missing courses with at least B grade before enrollment. Although it is not required, some programming experience will be a plus.
ProgramsMaster’sCertificate4+1
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