{"id":79093,"date":"2026-03-18T11:28:55","date_gmt":"2026-03-18T15:28:55","guid":{"rendered":"https:\/\/web.uri.edu\/ecbe\/?page_id=79093"},"modified":"2026-03-19T09:42:14","modified_gmt":"2026-03-19T13:42:14","slug":"ai-undergraduate-certificate","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/ecbe\/ai-undergraduate-certificate\/","title":{"rendered":"AI Undergraduate Certificate"},"content":{"rendered":"

Undergraduate Certificate in AI\/ Machine Learning for Engineering Applications<\/h1>

Learn AI. Apply It Responsibly.<\/p><\/div><\/div>

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Apply site-wide<\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n\n

Program Directors<\/h1>\n\n

Prof. Yan Lindsay Sun<\/a>
Certificate Program Co-Coordinator
CYPHER Center Co-Director and Chief AI Officer (CAIO)
yansun@cypher-uri.ai<\/p>\n\n\n\n

Asst. Teaching Prof. Mehmet Seckin<\/a>
Certificate Program Co-Coordinator
mseckin@uri.edu<\/p>\n\n<\/div><\/div>\n\n\n

The Undergraduate Certificate in AI and Machine Learning for Engineering Applications equips students in engineering and related disciplines with both the foundational knowledge and practical skills needed to apply artificial intelligence, machine learning, and data-driven methods to complex problems.<\/p>\n\n\n\n

The program emphasizes the integration of AI\/ML into real-world engineering systems and applications, preparing students to tackle emerging challenges across science, technology, and industry. In addition to technical expertise, students will engage with ethical, societal, and safety considerations to promote the responsible and effective use of AI in engineering practice.<\/p>\n\n\n\n

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Who would this serve?<\/h2>\n\n\n\n
    \n
  • Current URI engineering students<\/strong> – Integrate AI\/ML into your degree through early planning and thoughtful course selection.<\/li>\n\n\n\n
  • Recent URI engineering graduates<\/strong> – Building on your URI College of Engineering education, you may be only two courses away from earning this certificate.<\/li>\n\n\n\n
  • Workforce learners and employers<\/strong> – Upskill efficiently through targeted AI\/ML courses designed for immediate application.<\/li>\n\n\n\n
  • Prospective students and families <\/strong>– URI College of Engineering offers strong engineering preparation combined with practical AI literacy and applied machine learning skills.<\/li>\n<\/ul>\n\n\n\n

    Curriculum<\/h2>\n\n\n\n
    Courses<\/strong><\/td>Option 1<\/strong>
    (Capstone without an AI\/ML component)<\/strong><\/strong><\/td>    		Option 2<\/strong>
    (Capstone with a significant AI\/ML component)<\/strong><\/td><\/tr>
    EGR 241 \u2013 Python for Engineering Applications <\/strong>(spring)
    or an approved Python course (e.g., CSC 200)<\/td>    		4<\/td>4<\/td><\/tr>
    EGR 441 \u2013 Intro AI\/ML for Engineering Applications <\/strong>(spring)<\/td>4<\/td>4<\/td><\/tr>
    Ethics Course <\/strong>(select one course, 1-4 credits)
    Options include ELE 400, CVE 400, EGR\/PHL 316G, OCE 416, PHL 212, CSC 320<\/td>    		1<\/td>1<\/td><\/tr>
    Capstone Design<\/strong><\/td>0<\/td>3<\/td><\/tr>
    Elective Courses<\/strong>
    EGR 444 \u2013 Advanced AI\/ML for Engineering Applications(4 credits)
    EGR 404 \u2013 Building Tools with Generative AI (3 credits)
    CSC 461 \u2013 Machine Learning (4 credits)
    ELE 492 \u2013 Special Topics (4 credits)<\/td>    		Select at least one elective course<\/td><\/td><\/tr>
    Total Credits<\/strong><\/td>12-13<\/td>12<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n

    Application Coming Soon<\/h1>\n\n

    More information and how to apply TBA.<\/p>\n\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"

    The Undergraduate Certificate in AI and Machine Learning for Engineering Applications equips students in engineering and related disciplines with both the foundational knowledge and practical skills needed to apply artificial intelligence, machine learning, and data-driven methods to complex problems. The program emphasizes the integration of AI\/ML into real-world engineering systems and applications, preparing students to […]<\/p>\n","protected":false},"author":5094,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-79093","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/pages\/79093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/users\/5094"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/comments?post=79093"}],"version-history":[{"count":6,"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/pages\/79093\/revisions"}],"predecessor-version":[{"id":79118,"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/pages\/79093\/revisions\/79118"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/ecbe\/wp-json\/wp\/v2\/media?parent=79093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}