现代农业食品系统在精密农业，基于作物和天气的建模，成像和传感，组学技术以及食品消费者分析等领域中生成大量结构化和非结构化数据，但是目前的毕业生通常缺乏整合技能管理，挖掘和解释结果数据流。农业数据科学证书计划的目的是培养能够弥合农业部门大数据的生成，分析和解释之间差距的毕业生。具有这些技能的学生一方面对于改善数据生成者（农业和生物科学家）与另一方面数据专家（计算机科学家和统计学家）之间的交流至关重要。
The modern agri-food system generates large amounts of structured and unstructured data in areas such as precision agriculture, crop and weather-based modeling, imaging and sensing, -omics technologies, and food consumer analytics, yet current graduates often lack the integrative skills to manage, mine, and interpret the resulting data streams. The purpose of the Agricultural Data Science certificate program is to produce graduates capable of bridging the gap between the generation, analysis, and interpretation of big data in the agricultural sector. Students with these skills will be critical for improving communication between data generators (agricultural and biological scientists) on the one hand, and data specialists (computer scientists and statisticians) on the other.<br><br>A Graduate Certificate is similar to a minor and is designed to complement a student's major program of study. This program is open to enrolled, degree-seeking graduate students at the University of Georgia. The curriculum is highly interdisciplinary. 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. 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.