{"id":3228,"date":"2026-08-17T20:22:27","date_gmt":"2026-08-17T20:22:27","guid":{"rendered":"https:\/\/web.uri.edu\/politicalscience\/?page_id=3228"},"modified":"2026-08-24T14:53:35","modified_gmt":"2026-08-24T14:53:35","slug":"css-program-requirements","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/politicalscience\/academics\/computational-social-science-ph-d\/css-program-requirements\/","title":{"rendered":"CSS Program Requirements"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Computational Social Science Ph.D.<\/h1>\n\n\n<section class=\"cl-wrapper cl-menu-wrapper\"><nav id=\"\" class=\"cl-menu  \" data-name=\"CSS Program\" data-show-title=\"0\"><ul id=\"menu-css-program\" class=\"cl-menu-list cl-menu-list-no-js\"><li id=\"menu-item-3387\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-3387\"><a href=\"https:\/\/web.uri.edu\/politicalscience\/academics\/computational-social-science-ph-d\/\">Overview<\/a><\/li>\n<li id=\"menu-item-3327\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-3327\"><a href=\"https:\/\/web.uri.edu\/politicalscience\/academics\/computational-social-science-ph-d\/css-admission\/\">Admission<\/a><\/li>\n<li id=\"menu-item-3328\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-3328\"><a href=\"https:\/\/web.uri.edu\/politicalscience\/academics\/computational-social-science-ph-d\/css-program-requirements\/\">Program Requirements<\/a><\/li>\n<li id=\"menu-item-3325\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-3325\"><a href=\"https:\/\/web.uri.edu\/politicalscience\/academics\/computational-social-science-ph-d\/css-faculty\/\">Faculty<\/a><\/li>\n<\/ul><\/nav><\/section>\n\n\n<h2 class=\"wp-block-heading\">Program Requirements<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A minimum of 66 credit hours post-baccalaureate is required for the CSS Ph.D. All CSS Ph.D. students are required to complete the MS in Statistics degree (non-thesis option) as part of the CSS Ph.D. program of study.&nbsp; The MS in Statistics curriculum requirements for students in the CSS Ph.D. program include 24 credits in required coursework and 9 elective credits (33 credits total) distributed as follows:&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">M.S. in Statistics Requirements<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Credits<\/th><th>Courses<\/th><\/tr><\/thead><tbody><tr><td>9<\/td><td><strong>MTH 451:<\/strong> Introduction to Probability and Statistics<br><strong>MTH 452:<\/strong> Mathematical Statistics<\/td><\/tr><tr><td><\/td><td><strong>Choose one:<\/strong><br>\u2022 <strong>STA 501:<\/strong> Analysis of Variance and Variance Components<br>\u2022 <strong>STA 502:<\/strong> Applied Regression Analysis<\/td><\/tr><tr><td>6<\/td><td><strong>EEC\/STA 576:<\/strong> Econometrics<br><strong>EEC\/STA 676:<\/strong> Advanced Econometrics<\/td><\/tr><tr><td>9<\/td><td><strong>Statistics Electives:<\/strong> Select at least three courses from the approved list below.<\/td><\/tr><tr><td>9<\/td><td><strong>General Electives:<\/strong> Complete three elective courses.<\/td><\/tr><tr><td>&#8212;<\/td><td><strong>Comprehensive Examination:<\/strong> Successfully complete a written comprehensive examination.<\/td><\/tr><tr><td>33<\/td><td>Total minimum credits required<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Statistics Electives<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Course<\/th><th>Course Title<\/th><\/tr><\/thead><tbody><tr><td><strong>STA 501<\/strong><\/td><td>Analysis of Variance and Variance Components<\/td><\/tr><tr><td><strong>STA 502<\/strong><\/td><td>Applied Regression Analysis<\/td><\/tr><tr><td><strong>STA 520<\/strong><\/td><td>Fundamentals of Sampling and Applications<\/td><\/tr><tr><td><strong>STA 535<\/strong><\/td><td>Statistical Methodology in Clinical Trials<\/td><\/tr><tr><td><strong>STA 541<\/strong><\/td><td>Multivariate Statistical Methods<\/td><\/tr><tr><td><strong>STA 542<\/strong><\/td><td>Categorical Data Analysis Methods<\/td><\/tr><tr><td><strong>STA 550<\/strong><\/td><td>Ecological Statistics<\/td><\/tr><tr><td><strong>STA 592<\/strong><\/td><td>Special Topics in Statistics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Computational Social Science Ph.D. Requirements<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><thead><tr><th>Credits<\/th><th>Courses<\/th><\/tr><\/thead><tbody><tr><td>12<\/td><td><br><strong>CSS 600:<\/strong> Computational Social Science Pro-seminar<br><strong>CSS 610:<\/strong> Ethics of Computational Social Science<br><strong>CSS 620:<\/strong> Empirical Modeling of Social Science Theory<br><strong>CSS 690:<\/strong> Computational Social Science Dissertation Prospectus<\/td><\/tr><tr><td>3<\/td><td><strong>EEC 522:<\/strong> Computer Intensive Methods in Applied Economics<\/td><\/tr><tr><td>3-9<\/td><td><strong>CSS 630:<\/strong> Computational Social Science Integrative Theories<br>Topics vary. May be repeated for up to 9 credits.<\/td><\/tr><tr><td>3-9<\/td><td><strong>CSS 650:<\/strong> Computational Social Science Methods<br>Topics vary. May be repeated for up to 9 credits.<\/td><\/tr><tr><td>12-24<\/td><td><strong>CSS 699:<\/strong> Computational Social Science Dissertation<\/td><\/tr><tr><td>33<\/td><td>Minimum additional credits required after the M.S. in Statistics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">All degree candidates are required to prepare a Program of Study in consultation with their major professor and doctoral committee. A defense of dissertation is required. All credit requirements are minimum recommendations. The major professor and doctoral committee may require additional coursework and research credits, with specific requirements made on a case-by-case basis.&nbsp;<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computational Social Science Ph.D. Program Requirements A minimum of 66 credit hours post-baccalaureate is required for the CSS Ph.D. All CSS Ph.D. students are required to complete the MS in Statistics degree (non-thesis option) as part of the CSS Ph.D. program of study.&nbsp; The MS in Statistics curriculum requirements for students in the CSS Ph.D. [&hellip;]<\/p>\n","protected":false},"author":5285,"featured_media":0,"parent":3215,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-3228","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/pages\/3228","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/users\/5285"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/comments?post=3228"}],"version-history":[{"count":4,"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/pages\/3228\/revisions"}],"predecessor-version":[{"id":3392,"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/pages\/3228\/revisions\/3392"}],"up":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/pages\/3215"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/politicalscience\/wp-json\/wp\/v2\/media?parent=3228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}