{"id":27,"date":"2018-06-08T17:02:42","date_gmt":"2018-06-08T21:02:42","guid":{"rendered":"http:\/\/site.caes.uga.edu\/agdatascience\/?page_id=27"},"modified":"2025-05-29T12:50:59","modified_gmt":"2025-05-29T16:50:59","slug":"curriculum","status":"publish","type":"page","link":"https:\/\/site.caes.uga.edu\/agdatascience\/curriculum\/","title":{"rendered":"Curriculum"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>The Graduate Certificate in Agricultural Data Science is targeted toward enrolled graduate students in the agri-food sciences at the University of Georgia and aimed at producing graduates capable of bridging the gap between the generation, analysis, and interpretation of structured and unstructured agricultural data. The curriculum is highly interdisciplinary and encompasses 16 credit hours in the following areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Area 1: Agricultural Data Science Core<\/strong> (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.<\/li>\n\n\n\n<li><strong>Area 2: Analytical Foundations<\/strong> (3 credits): More specialized elective courses in the foundations of data science: programming, data management, statistics, econometrics, and\/or data mining.<\/li>\n\n\n\n<li><strong>Area 3: Analytical Applications<\/strong> (at least 6 credits): Elective courses from a range of applications including precision agriculture, geographic information science, imaging and sensing, experimental statistics, bioinformatics, and consumer analytics, among others.<\/li>\n\n\n\n<li><strong>Area 4: Seminar in Agricultural Data Science<\/strong> (1 credit): Capstone seminar course featuring UGA and external speakers highlighting diverse applications in agricultural analytics.<\/li>\n<\/ul>\n\n\n\n<p>Note that courses may double-count for both the Certificate and the student\u2019s major program of study.<\/p>\n\n\n\n<p>Inventory of required and elective&nbsp;<a href=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2025\/05\/Agricultural-Data-Science-Certificate-course-updates-05-2025.pdf\">Agricultural Data Science courses (pdf)<\/a> (last updated May 2025)<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1023\" src=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-1024x1023.png\" alt=\"\" class=\"wp-image-51\" srcset=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-1024x1023.png 1024w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-150x150.png 150w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-300x300.png 300w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-768x767.png 768w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI-138x138.png 138w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/170909_DR1_MAVRX_NDVI.png 1025w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"657\" src=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton-1024x657.png\" alt=\"\" class=\"wp-image-86\" srcset=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton-1024x657.png 1024w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton-300x192.png 300w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton-768x493.png 768w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton-215x138.png 215w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/3d_cotton.png 1955w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"729\" height=\"360\" src=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/data-dots_0.jpg\" alt=\"data dots\" class=\"wp-image-59\" srcset=\"https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/data-dots_0.jpg 729w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/data-dots_0-300x148.jpg 300w, https:\/\/site.caes.uga.edu\/agdatascience\/files\/2018\/06\/data-dots_0-279x138.jpg 279w\" sizes=\"auto, (max-width: 729px) 100vw, 729px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Graduate Certificate in Agricultural Data Science is targeted toward enrolled graduate students in the agri-food sciences at the University of Georgia and aimed at producing graduates capable of bridging the gap between the generation, analysis, and interpretation of structured and unstructured agricultural data. The curriculum is highly interdisciplinary and encompasses 16 credit hours in [&hellip;]<\/p>\n","protected":false},"author":501,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/pages\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/users\/501"}],"replies":[{"embeddable":true,"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/comments?post=27"}],"version-history":[{"count":10,"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/pages\/27\/revisions"}],"predecessor-version":[{"id":177,"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/pages\/27\/revisions\/177"}],"wp:attachment":[{"href":"https:\/\/site.caes.uga.edu\/agdatascience\/wp-json\/wp\/v2\/media?parent=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}