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The Master of Science in Agriculture program is ideal for agricultural professionals, practitioners, and educators. The degree is completely online, so students can achieve their goals without disrupting their lives.
The program's world-renowned faculty include experts in a variety of specializations, including animal science, economic sciences, food science, crop and soil sciences, horticulture and landscape architecture, entomology, and plant pathology. Students can tailor their coursework according to their professional goals.
Students may choose between a thesis or non-thesis program. Non-thesis program students are required to complete six credits of practicums instead of a thesis.
The following courses are REQUIRED for all MS in Agriculture students regardless of program option. If you are a thesis MS in Agriculture student AGRI 587, AGRI 700, and STAT 512 are your required core courses. If you are a non-thesis MS in Agriculture student AGRI 587, AGRI 702, and STAT 412 are your required core courses.
* AGRI 587 Research in Agriculture(Non-Thesis and Thesis Option) Credits: 3 | Prerequisites: admission to graduate program.Exploration and assessment of current issues associated with domestic and international agriculture programs.
* AGRI 700 - Masters Research, Thesis, and/or Examination(Thesis Option) Credits: Variable S, F grading.
* AGRI 702 - Masters Special Problems, Directed Study, and/or Examination(Non-Thesis Option) Credits: Variable S, F grading.
* STAT 412 Statistical Methods in Research I(Non-Thesis Option) Credits: 3 | Prerequisites: Stat 212, Math 140, 171, 202, or graduate standing.Intermediate statistical methods, design and analysis of research studies: completely randomized and randomized block designs, multiple regression, categorical data analysis. Cooperative course taught by WSU, open to UI students (STAT 412).
* STAT 512 Statistical Methods in Research II(Thesis Option) Credits: 3 (2-2) | Prerequisites: Stat 412 or equivalent.Analysis and interpretation of designed experiments: CRD, RCBD, spit-plot and repeated measures, multiple comparisons, multiple regression modeling, validation of assumptions.
Applicants must meet the requirements of the WSU Graduate School and the Master of Science in Agriculture prerequisites
