{"id":234,"date":"2023-10-27T13:53:14","date_gmt":"2023-10-27T17:53:14","guid":{"rendered":"https:\/\/web.uri.edu\/data-science\/?page_id=234"},"modified":"2026-07-08T14:04:48","modified_gmt":"2026-07-08T18:04:48","slug":"bachelor-of-arts-bachelor-of-science","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/data-science\/bachelor-of-arts-bachelor-of-science\/","title":{"rendered":"B.A.\/B.S. in Data Science"},"content":{"rendered":"<div class=\"cl-wrapper cl-boxout-wrapper\"><div class=\"cl-boxout right  \">\n<a class=\"cl-button   prominent\" href=\"https:\/\/web.uri.edu\/advising\/data-science-b-a-b-s\/\" title=\"\">curriculum sheets\/advising<\/a>\n\n<a class=\"cl-button   prominent\" href=\"https:\/\/web.uri.edu\/data-science\/academics\/course-listing-and-descriptions\/\" title=\"\">course descriptions<\/a>\n\n<a class=\"cl-button  \" href=\"https:\/\/web.uri.edu\/data-science\/academics\/learning-outcomes\/\" title=\"\">learning outcomes<\/a>\n<\/div><\/div>\n\n\n<h2 class=\"wp-block-heading\">The Bachelor of Science Degree<\/h2>\n\n\n\n<p>The B.S. degree has two tracks of emphasis. The track in Computer Science and Statistics (<strong>CS-STA track<\/strong>) and the track in Applied Mathematical Sciences (<strong>MTH-AMS track<\/strong>). Students in the <strong>CS-STA track<\/strong> learn statistical and machine learning methods in data science, acquiring computational skills in relevant programming languages for a data science career. A required capstone experience\u2014an internship or research project with a faculty member\u2014provides the kind of hands-on experience employers value. In the <strong>MTH-AMS track<\/strong>, students learn the mathematical constructs that make advanced data analysis possible. Students apply advanced mathematical concepts to solving data-driven problems and investigate the mathematical underpinnings of algorithms used in machine learning and other data science strategies.<\/p>\n\n\n\n<p>Despite its rapid rise to prominence, data science remains a relatively young field with plenty of opportunities for people who can innovate by designing new algorithms or tweaking existing ones.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Bachelor of Arts Degree<\/h2>\n\n\n\n<p>The BA is designed for students wishing to double major and apply data science in a domain or subject area. The domain areas could be a department in Arts and Sciences or a major from another college. Students wishing to primarily apply data science in a domain area should take the BA. Examples include biology, business, communication studies, political science, psychology, and finance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Major Entry Requirements<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complete 24 units and have an overall minimum GPA of 2.00<\/li>\n\n\n\n<li>Complete MTH 131 or 141, MTH 215, and STA 409<\/li>\n\n\n\n<li>Earn at least a 2.00 cumulative GPA in all courses required for the major that have been completed at the time of transfer from University College<\/li>\n\n\n\n<li>Complete URI 101<\/li>\n<\/ul>\n\n\n<section class=\"cl-wrapper cl-boxout-wrapper\"><div class=\"cl-boxout  \"><h1>Contact and Advising<\/h1>\n\n<p><a href=\"https:\/\/web.uri.edu\/cs\/meet\/natallia-katenka\/\">Natallia Katenka<\/a><br>Associate Professor | Director of Data Science<br><a href=\"mailto:nkatenka@uri.edu\">nkatenka@uri.edu<\/a><\/p>\n\n<\/div><\/section>\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>The Bachelor of Science Degree The B.S. degree has two tracks of emphasis. The track in Computer Science and Statistics (CS-STA track) and the track in Applied Mathematical Sciences (MTH-AMS track). Students in the CS-STA track learn statistical and machine learning methods in data science, acquiring computational skills in relevant programming languages for a data [&hellip;]<\/p>\n","protected":false},"author":4661,"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-234","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/pages\/234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/users\/4661"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/comments?post=234"}],"version-history":[{"count":4,"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/pages\/234\/revisions"}],"predecessor-version":[{"id":466,"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/pages\/234\/revisions\/466"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/data-science\/wp-json\/wp\/v2\/media?parent=234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}