Dec 11, 2024  
2022-2023 Graduate Catalog 
    
2022-2023 Graduate Catalog [ARCHIVED CATALOG]

Applied Economics and Statistics, MS


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Program Description


The MS in Applied Economics and Statistics provides training in applied economics, econometrics, and statistical methods. Students have the opportunity to develop skills in applied economic analysis, econometric modeling, policy analysis, and the design and of experiments and surveys. These methods are applied to a variety of concentrations, including agribusiness, agricultural economics, economic development, and environmental and natural resource economics.

The MS curriculum has a thesis option and a nonthesis option. The thesis option is designed for individuals who plan to pursue a Ph.D. degree or a career that requires a high level of research competence. The non-thesis option is designed for individuals who want technical skills for their professional careers in business or government.

Combined Bachelor’s/Master’s Degree


This program allows students to count up to 12 hours of graduate credit toward both the bachelor’s and master’s degrees. Students participating in this program must major in Agribusiness, have a minimum cumulative grade-point average of 3.4, and be admitted to the Graduate School prior to registering for graduate courses. Details of the suggested curriculum and program information are available from the Department of Agricultural Sciences at http://www.clemson.edu/cafls/departments/agricultural-sciences/index.html. Application details are available in the Undergraduate Announcements.

Summary of Degree Requirements


Students must earn at least 18 additional graduate credit hours beyond the 12-hour core requirement to complete the degree program. For students pursuing the thesis option, six of the additional required credit hours are thesis credit hours and the other 12 hours are selected from elective courses. Students pursuing the non-thesis option are required to take at least 18 additional elective credit hours. Elective courses may cover a wide array of topics such as: 1) benefit-cost analysis, 2) economic or regional development, 3) environmental economics, 4), natural resource economics, 5) agribusiness, 6) commodities and futures, 7) financial economics, 8) international economics, 9) industrial organization, 10) labor economics, 11) mathema­tical economics, 12) monetary economics, 13) public finance, anti-trust policy and regulation 14) sampling, 15) multivariate statistics, 16) spatial statistics, 17) experimental design and 18) sports economics. Students may also take, with approval of their advisory committee, two (at most) non-economic or non-statistical but relevant elective courses, such as Geographical Information Systems (GIS) or financial mathematics.  

Thesis Option

Students who choose the thesis option must take at least 24 graded credit hours of course work and six units of thesis research (APEC 8910  or ECON 8910 ) to earn the minimum 30 credits. At least 12 of the 24 graded credits must be 8000-level or 9000-level courses. Well-prepared, full-time students in this option can earn their degree in one calendar year but most take 18 months to finish the course and thesis requirements. Completion of a thesis is a prerequisite to most Ph.D. graduate programs in Economics or Applied Economics.

Non-Thesis Option

Students choosing the non-thesis option must earn at least 30 credit hours of graded course work. At least 15 of the 30 graded credits must be 8000-level or 9000-level courses. The non-thesis option provides practical training in applied economics, econometrics, and data analysis for business or government. The program provides additional technical skills for business- or public-service-oriented students. A technical, or professional, paper is required. An acceptable technical paper includes a relevant literature and theory review plus an applied empirical section.

Core Coursework


Outcomes, Learning Objectives, and Graduation Requirements


Students who earn a Master of Science (MS) in Applied Economics and Statistics (AES) learn to apply economic theory, design experiments or surveys, estimate econometric models, and test hypotheses with inferential statistics to analyze human behavior, business practice, or government policy. The behavior, practice, or policy might relate to agriculture, banks, credit markets, environ­mental or natural resource management, forestry, health care, insurance, marketing, property rights, regional economic growth, regulation, stock markets, sports businesses, or sustainable development.

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