A Graduate Certificate is designed to complement a student’s major program of study. This program is open only to enrolled, degree-seeking graduate students at the University of Georgia. The curriculum is highly interdisciplinary and requires a total of 16 credit hours across four areas. Two required core courses integrate analytical approaches and case studies from a range of disciplines. A capstone seminar features intramural and invited speakers across disciplines and industries. Elective courses are drawn from four different colleges and two Institutes across the university. The curriculum has been designed such that prerequisites for core and elective courses will not be prohibitive for students coming from a range of different disciplines and graduate majors.

Certificate Areas:

Area 1: Agricultural Data Science Core (6 credits): Two required courses covering the foundations in descriptive and predictive analytics in the agri-food sciences and providing context for and integration among more specialized data science elective courses.

Area 2: Analytical Foundations (3 credits): More specialized elective courses in the foundations of data science: programming, data management, statistics, econometrics, and/or data mining.

Area 3: Analytical Applications (at least 6 credits): Elective courses from a range of applications including precision agriculture, geographic information science, imaging and sensing, agricultural statistics, bioinformatics, and consumer analytics, among others.

Area 4: Seminar in Agricultural Data Science (1 credit): Interdisciplinary seminar course featuring UGA and external (industry and academia) speakers highlighting diverse applications in agricultural analytics.

Dr. Marin Brewer Department Head University of Georgia, Department of Plant Pathology mtbrewer@uga.edu 706-542-1254