{"id":434,"date":"2022-04-04T15:17:28","date_gmt":"2022-04-04T20:17:28","guid":{"rendered":"https:\/\/uwm.edu\/data-science\/?post_type=program&#038;p=434"},"modified":"2026-10-22T07:43:10","modified_gmt":"2026-10-22T12:43:10","slug":"data-analytics-bs","status":"publish","type":"program","link":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/","title":{"rendered":"Data Analytics &amp; Applied Artificial Intelligence"},"content":{"rendered":"\n\n<div id=\"primary\" class=\"content-area\">\n\t<div id=\"main\" class=\"site-main\">\n\t\t\n\n<section id=\"program-intro\" class=\"uwm-u-pt-80 uwm-u-pb-40\">\n    <div class=\"uwm-l-container--base\">\n        \n\n<div class=\"uwm-l-row\">\n<div id=\"intro-main\" class=\"uwm-l-col\">\n<header class=\"page-header\">\n    <h1 class=\"entry-title heading-separator\">\n        Data Analytics &amp; Applied Artificial Intelligence                    <div class=\"program-degree size-h3 uwm-u-mt-20\">BS<\/div>\n            <\/h1>\n<\/header>\n  \n\n\n\n\n<p class=\"lead-in wp-block-paragraph\"><style>\n\t\t\t.sc_courselist tr:nth-child(even) {\n \t\t\t background-color: #f2f2f2\n\t\t\t}\t\t\n\t\t\t.sc_footnotes td, .sc_footnotes th, .sc_footnotes table {  border-left: none;\n  border-right: none; padding: 8px;}\n\t\t\t\n\t\t\t.sc_courselist {\n\t\t\t\tborder-collapse: collapse;\n\t\t\t}\t\t\n\t\t\t.sc_courselist td, .sc_courselist th {\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t\tpadding: 8px;\n        min-width: 40px;\n\t\t\t}\t\t\n\t\t\t.hourscol{\n\t\t\t\ttext-align: right;\n\t\t\t}\t\t\t\n\t\t\t.hidden.noscript{\n\t\t\t\tdisplay: none;\n\t\t\t}\t\n\t\n\t.notinpdf{\n\t\tdisplay:none;\n\t}\n\t\t\t.areaheader, .symcol {\n\t\t\t\tfont-weight: bold;\n\t\t\t}\n\t.HU { background-color: #ffce9c; }\n\t\t\t.SS { background-color: #f0e68c; }\n\t\t\t.NS { background-color: #ceefbd; }\n\t\t\t.OWCB { background-color: #ccccff; }\n\t\t\t.QLB { background-color: #ccffff; }\n\t\n\tdl {\n  display: grid;\n  grid-template-columns: max-content auto;\n}\n\ndt {\n  grid-column-start: 1;\n}\n\ndd {\n  grid-column-start: 2;\n}\n<\/style>\n<text>\n  \n <div class=\"OutlineElement Ltr SCXW149140946 BCX0\"> <p class=\"Paragraph SCXW149140946 BCX0\"><span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">There is data all around us<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">. B<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">usinesses are looking to hire people who can<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">manage that data, analyze it, and use it for more effective decision making.<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">The<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">Bachelor<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">of Science in Data<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">Analytics<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">(BSDA)<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">is designed for you to learn those skills<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">.\u00a0<\/span><\/span>\u00a0<\/p> <\/div> <div class=\"OutlineElement Ltr SCXW149140946 BCX0\"> <p class=\"Paragraph SCXW149140946 BCX0\"><span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">The Bachelor of Science in Data<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">Analytics<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">i<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">s a special degree program that<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">includes<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">courses from<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">the College of Letters &amp; Science, the College of Community Engagement &amp; Professions, the Lubar College of Business, and the College of Engineering &amp; Applied Science to<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">provide a<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">solid general education as well as a<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">n interdisciplinary approach to data analytics<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">.<\/span><\/span><\/p> <\/div> <div class=\"OutlineElement Ltr SCXW149140946 BCX0\"> <p class=\"Paragraph SCXW149140946 BCX0\"><span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">The<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">BS in Data Analytics<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">at UWM is unique because its goal is to train<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">student<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">s to practice data analytics in a<\/span> <span class=\"BCX0 ContextualSpellingAndGrammarErrorV2 NormalTextRun SCXW149140946\">field<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">they are most passionate about<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">.<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">If you enroll in this program, you will take foundational classes to build core data analytics skills, then specialize in data analytics for business, health, information science, natural sciences, social sciences, or geographic information sciences.\u00a0<\/span><\/span>\u00a0<\/p> <\/div> <div class=\"OutlineElement Ltr SCXW149140946 BCX0\"> <p class=\"Paragraph SCXW149140946 BCX0\"><span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">The career prospects for individuals with data analytics degrees are very positive.<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">Data analytics skills are being used not only in industries that are obviously oriented toward using data, like information technology, sciences and business<\/span><span class=\"BCX0 NormalTextRun SCXW149140946\">, but also in fields that<\/span><\/span> <span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">more<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">recently have<\/span> <span class=\"BCX0 NormalTextRun SCXW149140946\">begun to take full advantage of their data resources,<\/span><\/span> <span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"none\" lang=\"EN-US\" xml:lang=\"EN-US\">like agriculture, atmospheric sciences, environmental sciences, geography, and healthcare<\/span><span class=\"BCX0 SCXW149140946 TextRun\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"BCX0 NormalTextRun SCXW149140946\">.\u00a0<\/span>\u00a0\u00a0<\/span>\u00a0<\/p> <\/div>\n  \n\n<\/text><\/p>\n\n\n    <div id=\"program-details-jump\">\n        <a class=\"uwm-c-button uwm-c-button--s\" href=\"#program-details\" rel=\"\">Jump to Program Details <i class=\"uwm-u-pl-10 fa-solid fa-arrow-down\"><\/i><\/a>\n    <\/div>\n\n    \n\n\n    <div class=\"uwm-l-row uwm-u-mt-50\">\n                    <div class=\"uwm-l-col\">\n                <h2 class=\"size-h6 uwm-u-my-10 uwm-u-pt-10 uwm-u-border--top\">Program Type<\/h2>\n                <p class=\"size-h4 uwm-u-mt-0\">\n                    <strong>Major<\/strong>\n                <\/p>\n            <\/div>\n        \n                    <div class=\"uwm-l-col uwm-l-offset--2\">\n                <h2 class=\"size-h6 uwm-u-my-10 uwm-u-pt-10 uwm-u-border--top\">Program Format<\/h2>\n                <p class=\"size-h4 uwm-u-mt-0\">\n                    <strong>On Campus<\/strong>\n                <\/p>\n            <\/div>\n            <\/div>\n\n<\/div>\n\n\n\n<div id=\"intro-sidebar\" class=\"uwm-l-col uwm-l-col--4 uwm-l-offset--1\">\n\n        <div class=\"uwm-mini-rfi uwm-p-card uwm-p-card--gold uwm-p-card--shadow\">\n            <div class=\"uwm-p-card--body\">\n                <div class=\"uwm-p-card--content\">\n                    <div class=\"uwm-p-card--title\">Request Information<\/div>\n                    <div id='form_146c5c94-0e9a-43ea-b43e-25f62136d3ea'>Loading&#8230;<\/div>                <\/div>\n            <\/div>\n        <\/div>\n        \n\n<div class=\"uwm-u-flex uwm-u-flex--wrap uwm-u-flex--left uwm-u-mt-40\">\n<a class=\"uwm-c-button uwm-c-button--gold uwm-u-mr-20 uwm-u-mb-20\" href=\"https:\/\/uwm.edu\/apply\" rel=\"\">Apply Now<\/a>\n\n\n\n<a class=\"uwm-c-button uwm-c-button--gold uwm-u-mr-20 uwm-u-mb-20\" href=\"https:\/\/uwm.edu\/cost-aid\" rel=\"\">Cost<\/a>\n<\/div>\n\n<script async='async' src='https:\/\/admissions.uwm.edu\/register\/?id=146c5c94-0e9a-43ea-b43e-25f62136d3ea&amp;output=embed&amp;div=form_146c5c94-0e9a-43ea-b43e-25f62136d3ea'>\/**\/<\/script>\n\n<\/div>\n<\/div>\n\n    <\/div>\n<\/section>\n\n\n\n\n\t    <section id=\"program-highlights\" class=\"uwm-u-py-80 uwm-bg-gray-dark\">\n        <div class=\"uwm-l-container--base\">\n        \n\n<div id=\"program-highlights-content-image\" class=\"uwm-l-row\">\n<div class=\"uwm-l-col\">\n\n<h2 id=\"h-why-uwm\" class=\"wp-block-heading heading-separator-short\">Why UWM?<\/h2>\n\n\n\n<p class=\"default wp-block-paragraph\">With a BS in Data Analytics from UWM, you will train to practice in the field that you\u2019re most passionate about. At UWM, students can tailor their program around six areas to prepare for a data career in that industry: health care, business, social sciences, natural sciences, information science, or geography. With a BS in Data Analytics, you will learn:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The&nbsp; foundations of analysis \u2013 this involves calculus, statistics, data mining and computer programming.<\/li>\n\n\n\n<li>How to apply data to solving real-world problems.<\/li>\n\n\n\n<li>The communications skills critical for presenting data in a professional setting.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A well-trained data analyst serves as a bridge between the data and the users of the data, putting meaning and context to the data while also making sure data is used in an ethical manner.<\/p>\n\n<\/div>\n\n\n\n<div class=\"uwm-l-col uwm-l-col--6 uwm-l-offset--1\">    <figure class=\"default\">\n                    <img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"500\" \n                class=\"wp-image-506\" \n                src=\"https:\/\/uwm.edu\/data-science\/wp-content\/uploads\/sites\/565\/2022\/04\/ainsley-data-science-first-choice-20211119_IMC_EH_000.jpg\" \n                alt=\"Portrait of Ainsley, a young woman, standing inside a lab in the Northwestern Mutual Data Science Institute\" \n srcset=\"https:\/\/uwm.edu\/data-science\/wp-content\/uploads\/sites\/565\/2022\/04\/ainsley-data-science-first-choice-20211119_IMC_EH_000.jpg 750w, https:\/\/uwm.edu\/data-science\/wp-content\/uploads\/sites\/565\/2022\/04\/ainsley-data-science-first-choice-20211119_IMC_EH_000-300x200.jpg 300w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/>\n                    <\/figure>\n<\/div>\n<\/div>\n\n        <\/div>\n    <\/section>\n\n\n\n\n<section id=\"program-details\" class=\"uwm-u-py-80\">\n    <div class=\"uwm-l-container--base\">\n        \n\n<div class=\"uwm-l-row\">\n<div id=\"details-main\" class=\"uwm-l-col\">\n\n<div class=\"uwm-p-tabs\" data-tabs-prefix-class=\"uwm-p-tabs\"><ul class=\"uwm-p-tablist\" data-hx=\"h2\"><li class=\"uwm-p-tablist--item\"><a href=\"#tab-rzk9-requirements\" class=\"uwm-p-tablist--link\">Requirements<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-rzk9-advising\" class=\"uwm-p-tablist--link\">Advising<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-rzk9-honors\" class=\"uwm-p-tablist--link\">Honors<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-rzk9-scholarships\" class=\"uwm-p-tablist--link\">Scholarships<\/a><\/li><\/ul><div class=\"uwm-p-tabcontent\">\n<div id=\"tab-rzk9-requirements\" class=\"uwm-p-tabcontent--pane\">\n<p class=\"wp-block-paragraph\"><style>\n\t\t\t.sc_courselist tr:nth-child(even) {\n \t\t\t background-color: #f2f2f2\n\t\t\t}\t\t\n\t\t\t.sc_footnotes td, .sc_footnotes th, .sc_footnotes table {  border-left: none;\n  border-right: none; padding: 8px;}\n\t\t\t\n\t\t\t.sc_courselist {\n\t\t\t\tborder-collapse: collapse;\n\t\t\t}\t\t\n\t\t\t.sc_courselist td, .sc_courselist th {\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t\tpadding: 8px;\n        min-width: 40px;\n\t\t\t}\t\t\n\t\t\t.hourscol{\n\t\t\t\ttext-align: right;\n\t\t\t}\t\t\t\n\t\t\t.hidden.noscript{\n\t\t\t\tdisplay: none;\n\t\t\t}\t\n\t\n\t.notinpdf{\n\t\tdisplay:none;\n\t}\n\t\t\t.areaheader, .symcol {\n\t\t\t\tfont-weight: bold;\n\t\t\t}\n\t.HU { background-color: #ffce9c; }\n\t\t\t.SS { background-color: #f0e68c; }\n\t\t\t.NS { background-color: #ceefbd; }\n\t\t\t.OWCB { background-color: #ccccff; }\n\t\t\t.QLB { background-color: #ccffff; }\n\t\n\tdl {\n  display: grid;\n  grid-template-columns: max-content auto;\n}\n\ndt {\n  grid-column-start: 1;\n}\n\ndd {\n  grid-column-start: 2;\n}\n<\/style>\n<requirementstext name=\"Requirements\">\n\n<h2>Requirements<\/h2>\n<table class=\"sc_courselist\">\n<caption class=\"hidden noscript\">Course List<\/caption>\n<colgroup>\n<col class=\"codecol\"\/>\n<col class=\"titlecol\"\/>\n<col align=\"char\" char=\".\" class=\"hourscol\"\/>\n<\/colgroup>\n<thead>\n<tr class=\"hidden noscript\">\n<th scope=\"col\">Code<\/th>\n<th scope=\"col\">Title<\/th>\n<th scope=\"col\" class=\"hourscol\">Credits<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"even firstrow\"><td colspan=\"2\"><span class=\"courselistcomment\">General Education Requirements<\/span><\/td><td class=\"hourscol\">30<\/td><\/tr>\n<tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Major Requirements<\/span><\/td><td class=\"hourscol\">73<\/td><\/tr>\n<tr class=\"even lastrow\"><td colspan=\"2\"><span class=\"courselistcomment\">Electives<\/span><\/td><td class=\"hourscol\">17<\/td><\/tr>\n<tr class=\"listsum\"><td colspan=\"2\">Total Credits<\/td><td class=\"hourscol\">120<\/td><\/tr><\/tbody>\n<\/table>\n\n<p><em>Credit numbers reflect total possible credits towards degree. Due to the ability to count courses towards more than one requirement, credit amounts will vary. Please work with your academic advisor on your plan of study.\u00a0<\/em><\/p>\n <h3>Preparatory Coursework<\/h3> <p>Based on individual placement results, some students may be required to complete preparatory coursework before enrolling in the courses listed here. This may include English language or composition preparation, developmental math, introductory chemistry, and\/or student support courses for students participating in the First Year Bridge program.\u00a0<\/p>  \n<h3><a id=\"gened\" name=\"gened\"><\/a>General Education Requirements (GER)<\/h3> <p>UW-Milwaukee has <a href=\"https:\/\/catalog.uwm.edu\/policies\/undergraduate-policies\/#generaleducationtext\" target=\"_blank\">General Education Requirements<\/a> that must be met in order to earn a bachelor\u2019s or associate degree. They include at minimum 30 credits (10 courses) in six categories that are designed to assure basic student competencies and provide a broad body of knowledge as a context for specialization.<\/p> <p><em>Some degree requirements may fulfill GERs. Please review the requirements and consult with your academic advisor.\u00a0 \u00a0<\/em><\/p> <table class=\"sc_courselist\"> <caption class=\"hidden noscript\">Course List<\/caption> <colgroup> <col class=\"codecol\"\/> <col class=\"titlecol\"\/> <col align=\"char\" char=\".\" class=\"hourscol\"\/> <\/colgroup> <thead> <tr class=\"hidden noscript\"> <th scope=\"col\">Code<\/th> <th scope=\"col\">Title<\/th> <th scope=\"col\" class=\"hourscol\">Credits<\/th> <\/tr> <\/thead> <tbody> <tr class=\"even areaheader  firstrow\"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">General Education Categories and Credits<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Civics and Perspectives (CP)<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Communication and Literacy (CL)<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Humanities and Arts (HA)<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Mathematics and Quantitative Reasoning (MQR)<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Natural Science and Wellness (NSW\/NSWL)<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"even lastrow\"><td colspan=\"2\"><span class=\"courselistcomment\">Social and Behavioral Science (SBS)<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"listsum\"><td colspan=\"2\">Total Credits<\/td><td class=\"hourscol\">30<\/td><\/tr><\/tbody> <\/table>\n<h3>Major Requirements<\/h3> <p>The B.S. in Data Analytics and Applied Artificial Intelligence requires 16 credits in Foundation courses, 33 credits in Core courses, 24 credits in a Specialization, and electives to reach a total of 120 credits.<\/p> <p>An average GPA of 2.000 on all coursework attempted at UWM is required for this degree. In addition, students must achieve an average 2.000 GPA on all coursework attempted, including transfer work. A minimum 2.000 GPA must be earned, on average, on 300-level and above courses taken to satisfy the advanced requirements, including transfer work. Students satisfy the residency requirement for the degree by completing at UWM both a minimum of 15 credits of the required advanced courses\u00a0in the major\u00a0(300 level and above) and\u00a0a minimum\u00a0one\u00a0of\u00a030 credits overall.\u00a0<\/p> <h3>Foundation Courses<\/h3> <table class=\"sc_courselist\"> <caption class=\"hidden noscript\">Course List<\/caption> <colgroup> <col class=\"codecol\"\/> <col class=\"titlecol\"\/> <col align=\"char\" char=\".\" class=\"hourscol\"\/> <\/colgroup> <thead> <tr class=\"hidden noscript\"> <th scope=\"col\">Code<\/th> <th scope=\"col\">Title<\/th> <th scope=\"col\" class=\"hourscol\">Credits<\/th> <\/tr> <\/thead> <tbody> <tr class=\"even areaheader  firstrow\"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Mathematics<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><span class=\"code_bubble\" data-code-bubble=\"MATH 212\">MATH\u00a0212<\/span><\/td><td>Survey in Calculus and Analytic Geometry II<\/td><td class=\"hourscol\">4<\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><span class=\"code_bubble\" data-code-bubble=\"MATH 240\">MATH\u00a0240<\/span><\/td><td>Matrices and Applications<\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Statistics<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 210\">BUS\u00a0ADM\u00a0210<\/span><\/div><\/td><td>Statistical Modeling in Business Analytics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 211\">BUS\u00a0ADM\u00a0211<\/span><\/div><\/td><td>Business Scholars: Statistical Modeling in Business Analytics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 210\">ECON\u00a0210<\/span><\/div><\/td><td>Economic Statistics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 215\">MTHSTAT\u00a0215<\/span><\/div><\/td><td>Elementary Statistical Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Computer Literacy 1<\/span> <sup>1<\/sup><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 230\">BUS\u00a0ADM\u00a0230<\/span><\/div><\/td><td>Introduction to Information Technology Management<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 150\">COMPSCI\u00a0150<\/span><\/div><\/td><td>Survey of Computer Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HCA 224\">HCA\u00a0224<\/span><\/div><\/td><td>Computational Tools for Healthcare Professionals<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Computer Literacy 2<\/span> <sup>1<\/sup><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 202\">COMPSCI\u00a0202<\/span><\/div><\/td><td>Introductory Programming Using Python<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 240\">COMPSCI\u00a0240<\/span><\/div><\/td><td>Introduction to Engineering Programming<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 250\">COMPSCI\u00a0250<\/span><\/div><\/td><td>Introductory Computer Programming<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd lastrow\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 350\">INFOST\u00a0350<\/span><\/div><\/td><td>Introduction to Application Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"listsum\"><td colspan=\"2\">Total Credits<\/td><td class=\"hourscol\">16<\/td><\/tr><\/tbody> <\/table>  <dl class=\"sc_footnotes\" aria-label=\"Footnotes\" widths=\"10,90\"><dt> <sup> 1 <\/sup> <\/dt><dd><p class=\"noindent\">Computer Literacy 1 and 2 can be satisfied by <span class=\"sc_courseinline\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 250\">COMPSCI\u00a0250<\/span><\/span> and <span class=\"sc_courseinline\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 251\">COMPSCI\u00a0251<\/span><\/span>.<\/p><\/dd><\/dl> <h3>Core Courses<\/h3> <table class=\"sc_courselist\"> <caption class=\"hidden noscript\">Course List<\/caption> <colgroup> <col class=\"codecol\"\/> <col class=\"titlecol\"\/> <col align=\"char\" char=\".\" class=\"hourscol\"\/> <\/colgroup> <thead> <tr class=\"hidden noscript\"> <th scope=\"col\">Code<\/th> <th scope=\"col\">Title<\/th> <th scope=\"col\" class=\"hourscol\">Credits<\/th> <\/tr> <\/thead> <tbody> <tr class=\"even areaheader  firstrow\"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Programming Languages<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose two of the following:<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 335\">BUS\u00a0ADM\u00a0335<\/span><\/div><\/td><td>Introduction to Business Application Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 432\">BUS\u00a0ADM\u00a0432<\/span><\/div><\/td><td>Object-Oriented Systems Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 350\">INFOST\u00a0350<\/span><\/div><\/td><td>Introduction to Application Development (Cannot be used in this category if it was used to satisfy the \u2018Computer Literacy 2\u2019 requirement)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 440\">INFOST\u00a0440<\/span><\/div><\/td><td>Web Application Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BIO SCI 502\">BIO\u00a0SCI\u00a0502<\/span><\/div><\/td><td>Introduction to Programming and Modeling in Ecology and Evolution<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 351\">COMPSCI\u00a0351<\/span><\/div><\/td><td>Data Structures and Algorithms<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 216\">MTHSTAT\u00a0216<\/span><\/div><\/td><td>Introduction to Statistical Computing and Data Science (Cannot be double counted in both the Programming Languages and Statistics core categories)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Databases<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 434\">BUS\u00a0ADM\u00a0434<\/span><\/div><\/td><td>Data Base Management Systems<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 410\">INFOST\u00a0410<\/span><\/div><\/td><td>Database Information Retrieval Systems<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HI 537\">HI\u00a0537<\/span><\/div><\/td><td>Health Information Technology and Management<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 557\">COMPSCI\u00a0557<\/span><\/div><\/td><td>Introduction to Database Systems<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Analytics and Artificial Intelligence\t<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose two of the following:<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 336\">BUS\u00a0ADM\u00a0336<\/span><\/div><\/td><td>ERP Simulation and Data Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 431\">BUS\u00a0ADM\u00a0431<\/span><\/div><\/td><td>Introduction to Machine Learning for Business<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 435\">BUS\u00a0ADM\u00a0435<\/span><\/div><\/td><td>Introduction to Artificial Intelligence for Business<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 437\">BUS\u00a0ADM\u00a0437<\/span><\/div><\/td><td>Introduction to Social Media Analytics for Business<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 536\">BUS\u00a0ADM\u00a0536<\/span><\/div><\/td><td>Business Intelligence<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 582\">INFOST\u00a0582<\/span><\/div><\/td><td>Introduction to Data Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 687\">INFOST\u00a0687<\/span><\/div><\/td><td>Data Analysis for Data Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 691\">INFOST\u00a0691<\/span><\/div><\/td><td>Special Topics in Information Science: ('Computer Forensics' is eligible. Other topics offered in a specific offering of this course must be approved for the degree by the Director of the Program.)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ATM SCI 600\">ATM\u00a0SCI\u00a0600<\/span><\/div><\/td><td>Data Analytics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 411\">COMPSCI\u00a0411<\/span><\/div><\/td><td>Machine Learning and Applications<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 422\">COMPSCI\u00a0422<\/span><\/div><\/td><td>Introduction to Artificial Intelligence<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 425\">COMPSCI\u00a0425<\/span><\/div><\/td><td>Introduction to Data Mining<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 411\">ECON\u00a0411<\/span><\/div><\/td><td>Economic Forecasting Methods<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 215\">GEOG\u00a0215<\/span><\/div><\/td><td>Introduction to Geographic Information Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 525\">GEOG\u00a0525<\/span><\/div><\/td><td>Geographic Information Science (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Visualization<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 438\">BUS\u00a0ADM\u00a0438<\/span><\/div><\/td><td>Information Technology Management Topics:<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 370\">INFOST\u00a0370<\/span><\/div><\/td><td>Data Analysis and Visualization for the Information Professional<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 405\">GEOG\u00a0405<\/span><\/div><\/td><td>Cartography (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Statistics \t<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose two of the following:<\/span><\/td><td class=\"hourscol\">6<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ATM SCI 500\">ATM\u00a0SCI\u00a0500<\/span><\/div><\/td><td>Statistical Methods in Atmospheric Sciences<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 310\">ECON\u00a0310<\/span><\/div><\/td><td>Introduction to Econometrics and Data Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 411\">ECON\u00a0411<\/span><\/div><\/td><td>Economic Forecasting Methods<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 216\">MTHSTAT\u00a0216<\/span><\/div><\/td><td>Introduction to Statistical Computing and Data Science (Cannot be double counted in both the Programming Languages and Statistics core categories)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 361\">MTHSTAT\u00a0361<\/span><\/div><\/td><td>Introduction to Mathematical Statistics I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 362\">MTHSTAT\u00a0362<\/span><\/div><\/td><td>Introduction to Mathematical Statistics II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Communication\t<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><span class=\"code_bubble\" data-code-bubble=\"ENGLISH 310\">ENGLISH\u00a0310<\/span><\/td><td>Writing, Speaking, and Technoscience in the 21st Century<\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Ethics<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 530\">BUS\u00a0ADM\u00a0530<\/span><\/div><\/td><td>Privacy and Information Security for Business<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 661\">INFOST\u00a0661<\/span><\/div><\/td><td>Information Ethics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 395\">COMPSCI\u00a0395<\/span><\/div><\/td><td>Social, Professional, and Ethical Issues<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HCA 311\">HCA\u00a0311<\/span><\/div><\/td><td>Law and Ethics for Healthcare Professionals<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PHILOS 237\">PHILOS\u00a0237<\/span><\/div><\/td><td>Technology, Values, and Society<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"SOCIOL 327\">SOCIOL\u00a0327<\/span><\/div><\/td><td>Data, Technology, and Society<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Capstone\/Fieldwork\/Thesis<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td colspan=\"2\"><span class=\"courselistcomment\">Choose one of the following:<\/span><\/td><td class=\"hourscol\">3<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 389\">BUS\u00a0ADM\u00a0389<\/span><\/div><\/td><td>Real Estate Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 394\">BUS\u00a0ADM\u00a0394<\/span><\/div><\/td><td>Human Resources Management Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 396\">BUS\u00a0ADM\u00a0396<\/span><\/div><\/td><td>Finance Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 397\">BUS\u00a0ADM\u00a0397<\/span><\/div><\/td><td>Marketing Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 398\">BUS\u00a0ADM\u00a0398<\/span><\/div><\/td><td>Supply Chain &amp; Operations Management Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 400\">BUS\u00a0ADM\u00a0400<\/span><\/div><\/td><td>Accounting Professional Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 439\">BUS\u00a0ADM\u00a0439<\/span><\/div><\/td><td>Information Technology Management Professional Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 459\">BUS\u00a0ADM\u00a0459<\/span><\/div><\/td><td>Finance Professional Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 469\">BUS\u00a0ADM\u00a0469<\/span><\/div><\/td><td>Marketing Professional Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 479\">BUS\u00a0ADM\u00a0479<\/span><\/div><\/td><td>Supply Chain &amp; Operations Management Professional Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 494\">BUS\u00a0ADM\u00a0494<\/span><\/div><\/td><td>International Business Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 534\">BUS\u00a0ADM\u00a0534<\/span><\/div><\/td><td>Information Technology Practicum<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 600\">BUS\u00a0ADM\u00a0600<\/span><\/div><\/td><td>Management Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 408\">INFOST\u00a0408<\/span><\/div><\/td><td>Nonprofit Information Technology<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 490\">INFOST\u00a0490<\/span><\/div><\/td><td>Senior Capstone<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 495\">INFOST\u00a0495<\/span><\/div><\/td><td>Information Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"COMPSCI 595\">COMPSCI\u00a0595<\/span><\/div><\/td><td>Capstone Project<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 489\">ECON\u00a0489<\/span><\/div><\/td><td>Internship in Economics, Upper Division<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 489\">MTHSTAT\u00a0489<\/span><\/div><\/td><td>Internship in Mathematical Statistics, Upper Division<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MATH 599\">MATH\u00a0599<\/span><\/div><\/td><td>Capstone Experience (1 credit)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 600\">GEOG\u00a0600<\/span><\/div><\/td><td>Perspectives on Geography<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even lastrow\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 698\">GEOG\u00a0698<\/span><\/div><\/td><td>GIS\/Cartography Internship<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"listsum\"><td colspan=\"2\">Total Credits<\/td><td class=\"hourscol\">33<\/td><\/tr><\/tbody> <\/table>  <h3>Electives in Different Specializations (24 credits in each specialization)<\/h3> <table class=\"sc_courselist\"> <caption class=\"hidden noscript\">Course List<\/caption> <colgroup> <col class=\"codecol\"\/> <col class=\"titlecol\"\/> <col align=\"char\" char=\".\" class=\"hourscol\"\/> <\/colgroup> <thead> <tr class=\"hidden noscript\"> <th scope=\"col\">Code<\/th> <th scope=\"col\">Title<\/th> <th scope=\"col\" class=\"hourscol\">Credits<\/th> <\/tr> <\/thead> <tbody> <tr class=\"even areaheader  firstrow\"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Business<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd\"><td colspan=\"2\"><span class=\"courselistcomment\">Select any 24 credits; Sub-specializations are listed so students may focus their coursework.<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 532\">BUS\u00a0ADM\u00a0532<\/span><\/div><\/td><td>Web Development for Open Business Systems<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 533\">BUS\u00a0ADM\u00a0533<\/span><\/div><\/td><td>Introduction to Connected Systems for Business<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 536\">BUS\u00a0ADM\u00a0536<\/span><\/div><\/td><td>Business Intelligence<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 537\">BUS\u00a0ADM\u00a0537<\/span><\/div><\/td><td>ERP Concepts and Issues<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 539\">BUS\u00a0ADM\u00a0539<\/span><\/div><\/td><td>Web Application Server Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 540\">BUS\u00a0ADM\u00a0540<\/span><\/div><\/td><td>ERP Certification<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areasubheader undefined\"><td colspan=\"2\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"courselistcomment areasubheader undefined commentindent\">Supply Chain<\/span><\/div><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 370\">BUS\u00a0ADM\u00a0370<\/span><\/div><\/td><td>Introduction to Supply Chain Management<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 436\">BUS\u00a0ADM\u00a0436<\/span><\/div><\/td><td>Systems Analysis and Design<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 478\">BUS\u00a0ADM\u00a0478<\/span><\/div><\/td><td>Supply Chain Analytics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 571\">BUS\u00a0ADM\u00a0571<\/span><\/div><\/td><td>Quality and Six Sigma Tools<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areasubheader undefined\"><td colspan=\"2\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"courselistcomment areasubheader undefined commentindent\">Marketing<\/span><\/div><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 360\">BUS\u00a0ADM\u00a0360<\/span><\/div><\/td><td>Principles of Marketing<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 462\">BUS\u00a0ADM\u00a0462<\/span><\/div><\/td><td>Marketing Research<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areasubheader undefined\"><td colspan=\"2\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"courselistcomment areasubheader undefined commentindent\">Finance<\/span><\/div><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 350\">BUS\u00a0ADM\u00a0350<\/span><\/div><\/td><td>Principles of Finance<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 450\">BUS\u00a0ADM\u00a0450<\/span><\/div><\/td><td>Intermediate Finance<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 451\">BUS\u00a0ADM\u00a0451<\/span><\/div><\/td><td>Investment Finance<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 457\">BUS\u00a0ADM\u00a0457<\/span><\/div><\/td><td>Financial Modeling<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 458\">BUS\u00a0ADM\u00a0458<\/span><\/div><\/td><td>Venture Finance<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areasubheader undefined\"><td colspan=\"2\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"courselistcomment areasubheader undefined commentindent\">Recommended<\/span> <sup>2<\/sup><\/div><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BUS ADM 300\">BUS\u00a0ADM\u00a0300<\/span><\/div><\/td><td>Career and Professional Development (1 credit)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Information Science and Technology<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 240\">INFOST\u00a0240<\/span><\/div><\/td><td>Web Design I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 270\">INFOST\u00a0270<\/span><\/div><\/td><td>Generative AI Literacy<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 315\">INFOST\u00a0315<\/span><\/div><\/td><td>Knowledge Organization for Information Science and Technology<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 320\">INFOST\u00a0320<\/span><\/div><\/td><td>Web Design II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 325\">INFOST\u00a0325<\/span><\/div><\/td><td>Information Security I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 340\">INFOST\u00a0340<\/span><\/div><\/td><td>Introduction to Systems Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 350\">INFOST\u00a0350<\/span><\/div><\/td><td>Introduction to Application Development (If not used already as part of the Foundations requirement)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 375\">INFOST\u00a0375<\/span><\/div><\/td><td>Multimedia Web Design<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 383\">INFOST\u00a0383<\/span><\/div><\/td><td>Native Mobile Applications<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 465\">INFOST\u00a0465<\/span><\/div><\/td><td>Legal Aspects of Information Products and Services<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 470\">INFOST\u00a0470<\/span><\/div><\/td><td>Foundations of Artificial Intelligence in Information Science &amp; Technology<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 491\">INFOST\u00a0491<\/span><\/div><\/td><td>Advanced Topics in Information Science &amp; Technology: <sup>3<\/sup><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 583\">INFOST\u00a0583<\/span><\/div><\/td><td>Survey of Information Security<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 584\">INFOST\u00a0584<\/span><\/div><\/td><td>Survey of Web and Mobile Content Development<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 691\">INFOST\u00a0691<\/span><\/div><\/td><td>Special Topics in Information Science: <sup>3<\/sup><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 695\">INFOST\u00a0695<\/span><\/div><\/td><td>Ethical Hacking I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"INFOST 696\">INFOST\u00a0696<\/span><\/div><\/td><td>Ethical Hacking II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Health<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd areasubheader undefined\"><td colspan=\"2\"><span class=\"courselistcomment areasubheader undefined\">This specialization will require 3-6 credits from a different specialization as approved by the Program Director.<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HCA 307\">HCA\u00a0307<\/span><\/div><\/td><td>Epidemiology for the Health Sciences<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HCA 444\">HCA\u00a0444<\/span><\/div><\/td><td>Introduction to Text Retrieval and Its Applications in Biomedicine<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"HCA 541\">HCA\u00a0541<\/span><\/div><\/td><td>Healthcare Information Systems Analysis and Design<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PH 355\">PH\u00a0355<\/span><\/div><\/td><td>Public Health Research Methods I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PH 410\">PH\u00a0410<\/span><\/div><\/td><td>True Lies: Consuming and Communicating Quantitative Information<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PH 455\">PH\u00a0455<\/span><\/div><\/td><td>Public Health Research Methods II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areasubheader undefined\"><td colspan=\"2\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"courselistcomment areasubheader undefined commentindent\">Recommend one of the following: <\/span> <sup>2<\/sup><\/div><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CHPS 222\">CHPS\u00a0222<\/span><\/div><\/td><td>Language of Medicine<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BMS 205\">BMS\u00a0205<\/span><\/div><\/td><td>Foundations of Diagnostic Science: Exploring Health, Technology, and Ethics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"NURS 352\">NURS\u00a0352<\/span><\/div><\/td><td>Health and Illness Concepts 1: Introduction<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Natural Sciences<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BIO SCI 465\">BIO\u00a0SCI\u00a0465<\/span><\/div><\/td><td>Biostatistics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"BIO SCI 469\">BIO\u00a0SCI\u00a0469<\/span><\/div><\/td><td>Genomic Data Analysis (2 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"FRSHWTR 361\">FRSHWTR\u00a0361<\/span><\/div><\/td><td>Introduction to Environmental Data Systems<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"FRSHWTR 504\">FRSHWTR\u00a0504<\/span><\/div><\/td><td>Quantitative Freshwater Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"FRSHWTR 514\">FRSHWTR\u00a0514<\/span><\/div><\/td><td>Analytical Techniques in Freshwater Sciences<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"FRSHWTR 585\">FRSHWTR\u00a0585<\/span><\/div><\/td><td>Applied Water Statistics and Data Manipulation<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"FRSHWTR 640\">FRSHWTR\u00a0640<\/span><\/div><\/td><td>Sequence Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 560\">MTHSTAT\u00a0560<\/span><\/div><\/td><td>Data Preparation and Exploration<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 562\">MTHSTAT\u00a0562<\/span><\/div><\/td><td>Design of Experiments<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 563\">MTHSTAT\u00a0563<\/span><\/div><\/td><td>Regression Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 564\">MTHSTAT\u00a0564<\/span><\/div><\/td><td>Time Series Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MTHSTAT 568\">MTHSTAT\u00a0568<\/span><\/div><\/td><td>Multivariate Statistical Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"MATH 583\">MATH\u00a0583<\/span><\/div><\/td><td>Introduction to Probability Models<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 391\">ACTSCI\u00a0391<\/span><\/div><\/td><td>Investment Mathematics I (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 591\">ACTSCI\u00a0591<\/span><\/div><\/td><td>Investment Mathematics II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 593\">ACTSCI\u00a0593<\/span><\/div><\/td><td>Actuarial Models I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 594\">ACTSCI\u00a0594<\/span><\/div><\/td><td>Actuarial Models II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 596\">ACTSCI\u00a0596<\/span><\/div><\/td><td>Actuarial Statistics I<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ACTSCI 597\">ACTSCI\u00a0597<\/span><\/div><\/td><td>Actuarial Statistics II<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Social Sciences<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd areasubheader undefined\"><td colspan=\"2\"><span class=\"courselistcomment areasubheader undefined\">Choose at most one of the following methods courses:<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CRM JST 662\">CRM\u00a0JST\u00a0662<\/span><\/div><\/td><td>Methods of Social Welfare Research<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"POL SCI 203\">POL\u00a0SCI\u00a0203<\/span><\/div><\/td><td>Introduction to Political Science Research<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PSYCH 325\">PSYCH\u00a0325<\/span><\/div><\/td><td>Research Methods in Psychology (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"AFRIC 301\">AFRIC\u00a0301<\/span><\/div><\/td><td>Research Methods in African &amp; African Diaspora Studies<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"SOCIOL 361\">SOCIOL\u00a0361<\/span><\/div><\/td><td>Research Methods &amp; Data in Sociology<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areasubheader undefined\"><td colspan=\"2\"><span class=\"courselistcomment areasubheader undefined\">Choose at most one of the following multiple regression courses:<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"ECON 310\">ECON\u00a0310<\/span><\/div><\/td><td>Introduction to Econometrics and Data Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PSYCH 610\">PSYCH\u00a0610<\/span><\/div><\/td><td>Experimental Design<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"SOCIOL 461\">SOCIOL\u00a0461<\/span><\/div><\/td><td>Social Data Analysis Using Regression<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd areasubheader undefined\"><td colspan=\"2\"><span class=\"courselistcomment areasubheader undefined\">And, take courses from the list below to complete 24 credits:<\/span><\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CRM JST 510\">CRM\u00a0JST\u00a0510<\/span><\/div><\/td><td>Introduction to Crime Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CRM JST 520\">CRM\u00a0JST\u00a0520<\/span><\/div><\/td><td>Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CRM JST 530\">CRM\u00a0JST\u00a0530<\/span><\/div><\/td><td>Data Driven Policing Strategies and Police Intelligence<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 215\">GEOG\u00a0215<\/span><\/div><\/td><td>Introduction to Geographic Information Science<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 525\">GEOG\u00a0525<\/span><\/div><\/td><td>Geographic Information Science (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 547\">GEOG\u00a0547<\/span><\/div><\/td><td>Spatial Analysis (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"POL SCI 390\">POL\u00a0SCI\u00a0390<\/span><\/div><\/td><td>Political Data Analysis<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"POL SCI 392\">POL\u00a0SCI\u00a0392<\/span><\/div><\/td><td>Survey Research<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"POL SCI 398\">POL\u00a0SCI\u00a0398<\/span><\/div><\/td><td>Cyberpolitics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PSYCH 401\">PSYCH\u00a0401<\/span><\/div><\/td><td>Data Science for Psychology<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"PSYCH 510\">PSYCH\u00a0510<\/span><\/div><\/td><td>Advanced Psychological Statistics<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"SOCIOL 352\">SOCIOL\u00a0352<\/span><\/div><\/td><td>Social Networks<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even areaheader \"><td colspan=\"2\"><span class=\"courselistcomment areaheader \">Geographic Information Science<\/span><\/td><td class=\"hourscol\">24<\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 325\">GEOG\u00a0325<\/span><\/div><\/td><td>Data Science and Environmental Applications<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 403\">GEOG\u00a0403<\/span><\/div><\/td><td>Remote Sensing: Environmental and Land Use Analysis (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 437\">GEOG\u00a0437<\/span><\/div><\/td><td>Qualitative Methods in Geography<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 547\">GEOG\u00a0547<\/span><\/div><\/td><td>Spatial Analysis (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 515\">GEOG\u00a0515<\/span><\/div><\/td><td>Watershed Analysis and Modeling<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"GEOG 625\">GEOG\u00a0625<\/span><\/div><\/td><td>Intermediate Geographic Information Science (4 credits)<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"odd\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"URBPLAN 591\">URBPLAN\u00a0591<\/span><\/div><\/td><td>Introduction to Urban Geographic Information Systems (GIS) in Planning<\/td><td class=\"hourscol\"><\/td><\/tr> <tr class=\"even lastrow\"><td class=\"codecol\"><div style=\"margin-left:20px;\" class=\"blockindent\"><span class=\"code_bubble\" data-code-bubble=\"CRM JST 520\">CRM\u00a0JST\u00a0520<\/span><\/div><\/td><td>Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS<\/td><td class=\"hourscol\"><\/td><\/tr> <\/tbody> <\/table>  <dl class=\"sc_footnotes\" aria-label=\"Footnotes\" widths=\"10,90\"><dt> <sup> 2 <\/sup> <\/dt><dd><p class=\"noindent\">Recommended courses do not count toward the specialization unless approved by the Director. They are merely recommended additional courses.\u00a0<\/p><\/dd><dt> <sup> 3 <\/sup> <\/dt><dd><p class=\"noindent\">Specific topics courses need to be approved for the degree by the Program Director. A topic course cannot be used again if applied to a prior degree requirement category.<\/p><\/dd><\/dl> <h3>General Electives<\/h3> <p>With the help of their academic advisor, students will select electives to complete the 120 total credits required for the degree. Electives are tailored to each student\u2019s interests and career goals.<\/p> <h3>Second Degree<\/h3> <p><span class=\"x_x_x_contentpasted1\">A student wishing to complete a second degree in BSDA will need to complete all 33 credits of the Core Courses.<\/span><span class=\"x_x_x_contentpasted1\"> They must complete the Foundations courses to be eligible for this degree. They are not required to complete the Electives with specialization, as their first major may fulfill that role in the degree. <\/span><\/p>\n\n<\/requirementstext><\/p>\n<\/div>\n\n\n\n<div id=\"tab-rzk9-advising\" class=\"uwm-p-tabcontent--pane\"><style>\n\t\t\t.sc_courselist tr:nth-child(even) {\n \t\t\t background-color: #f2f2f2\n\t\t\t}\t\t\n\t\t\t.sc_footnotes td, .sc_footnotes th, .sc_footnotes table {  border-left: none;\n  border-right: none; padding: 8px;}\n\t\t\t\n\t\t\t.sc_courselist {\n\t\t\t\tborder-collapse: collapse;\n\t\t\t}\t\t\n\t\t\t.sc_courselist td, .sc_courselist th {\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t\tpadding: 8px;\n        min-width: 40px;\n\t\t\t}\t\t\n\t\t\t.hourscol{\n\t\t\t\ttext-align: right;\n\t\t\t}\t\t\t\n\t\t\t.hidden.noscript{\n\t\t\t\tdisplay: none;\n\t\t\t}\t\n\t\n\t.notinpdf{\n\t\tdisplay:none;\n\t}\n\t\t\t.areaheader, .symcol {\n\t\t\t\tfont-weight: bold;\n\t\t\t}\n\t.HU { background-color: #ffce9c; }\n\t\t\t.SS { background-color: #f0e68c; }\n\t\t\t.NS { background-color: #ceefbd; }\n\t\t\t.OWCB { background-color: #ccccff; }\n\t\t\t.QLB { background-color: #ccffff; }\n\t\n\tdl {\n  display: grid;\n  grid-template-columns: max-content auto;\n}\n\ndt {\n  grid-column-start: 1;\n}\n\ndd {\n  grid-column-start: 2;\n}\n<\/style>\n<advisingtext name=\"Advising\">\n\n <h2>Letters &amp; Science Advising<\/h2> <p>During your time at UWM, you may have multiple members of your success team, including advisors, peer mentors and success coaches. Letters &amp; Science students typically work with at least two different types of advisors as they pursue their degrees: professional college advisors and faculty advisors. L&amp;S college advisors advise across your entire degree program while departmental faculty advisors focus on the major.<\/p> <p>College advisors are located in Holton Hall (or virtually for online students) and serve as your primary advisor. They are your point person for your questions about navigating college and completing your degree. College advisors will:<\/p> <ul> \t<li>Assist you in defining your academic and life goals.<\/li> \t<li>Help you create an educational plan that is consistent with those goals.<\/li> \t<li>Assist you in understanding curriculum, major and degree requirements for graduation, as well as university policies and procedures.<\/li> \t<li>Provide you with information about campus and community resources and refer you to those resources as appropriate.<\/li> \t<li>Monitor your progress toward graduation and completion of requirements.<\/li> <\/ul> <p>Faculty advisors mentor students in the major and assist them in maximizing their development in the program. You will begin working with a faculty advisor when you declare your major. Faculty advisors are an important partner and will:<\/p> <ul> \t<li>Help you\u00a0understand major requirements and course offerings in the department.\u00a0<\/li> \t<li>Explain opportunities for internships and undergraduate research and guide you in obtaining those experiences.<\/li> \t<li>Serve as an excellent resource as you consider potential graduate programs and career paths in your field.<\/li> <\/ul> <p>Students are encouraged to meet with both their college advisor and faculty advisor at least once each semester. Appointments are available in-person, by phone or by video.\u00a0<\/p> <p>Currently enrolled students should use the <a href=\"https:\/\/uwm.navigate.eab.com\/\" target=\"_blank\">Navigate360 website<\/a>\u00a0to make an appointment with your assigned advisor or call (414) 229-4654 if you do not currently have an assigned Letters &amp; Science advisor.\u00a0Prospective students who haven't enrolled in classes yet should call (414) 229-7711 or email\u00a0<a href=\"mailto:let-sci@uwm.edu\" target=\"_blank\">let-sci@uwm.edu<\/a>.<\/p>\n\n<\/advisingtext>\n<\/div>\n\n\n\n<div id=\"tab-rzk9-honors\" class=\"uwm-p-tabcontent--pane\">\n<p class=\"wp-block-paragraph\"><style>\n\t\t\t.sc_courselist tr:nth-child(even) {\n \t\t\t background-color: #f2f2f2\n\t\t\t}\t\t\n\t\t\t.sc_footnotes td, .sc_footnotes th, .sc_footnotes table {  border-left: none;\n  border-right: none; padding: 8px;}\n\t\t\t\n\t\t\t.sc_courselist {\n\t\t\t\tborder-collapse: collapse;\n\t\t\t}\t\t\n\t\t\t.sc_courselist td, .sc_courselist th {\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t\tpadding: 8px;\n        min-width: 40px;\n\t\t\t}\t\t\n\t\t\t.hourscol{\n\t\t\t\ttext-align: right;\n\t\t\t}\t\t\t\n\t\t\t.hidden.noscript{\n\t\t\t\tdisplay: none;\n\t\t\t}\t\n\t\n\t.notinpdf{\n\t\tdisplay:none;\n\t}\n\t\t\t.areaheader, .symcol {\n\t\t\t\tfont-weight: bold;\n\t\t\t}\n\t.HU { background-color: #ffce9c; }\n\t\t\t.SS { background-color: #f0e68c; }\n\t\t\t.NS { background-color: #ceefbd; }\n\t\t\t.OWCB { background-color: #ccccff; }\n\t\t\t.QLB { background-color: #ccffff; }\n\t\n\tdl {\n  display: grid;\n  grid-template-columns: max-content auto;\n}\n\ndt {\n  grid-column-start: 1;\n}\n\ndd {\n  grid-column-start: 2;\n}\n<\/style>\n<honorstext name=\"Honors\">\n\n<h2>College of Letters and Science Dean's Honor List<\/h2> <p>GPA of 3.500 or above, earned on a full-time student's GPA on 12 or more graded credits in a given semester.<\/p>\n <h2>Honors College Degree and Honors College Degree with Distinction<\/h2> <p>Granted to graduating seniors who complete Honors College requirements, as listed in the\u00a0<a href=\"https:\/\/catalog.uwm.edu\/honors-college\/\" target=\"_blank\">Honors College<\/a>\u00a0section of this site.<\/p> <h2>Commencement Honors<\/h2> <p>Students with a cumulative GPA of 3.500 or above, based on a minimum of 40 graded UWM credits earned prior to the final semester, will receive all-university commencement honors and be awarded the traditional gold cord at the December or May Honors Convocation. Please note that for honors calculation, the GPA is\u00a0not\u00a0rounded and is truncated at the third decimal (e.g., 3.499).<\/p> <h2>Final Honors<\/h2> <p>Earned on a minimum of 60 graded UWM credits: Cum Laude - 3.500 or above; Magna Cum Laude - 3.650 or above; Summa Cum Laude - 3.800 or above.<\/p>\n\n<\/honorstext><\/p>\n<\/div>\n\n\n\n<div id=\"tab-rzk9-scholarships\" class=\"uwm-p-tabcontent--pane\">\n<p class=\"wp-block-paragraph\">The scholarship process for all students and all scholarships (major specific ones and all general scholarships) begins with <a href=\"https:\/\/uwm.academicworks.com\/\">UWM\u2019s Panther Scholarship Portal<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first time you log in, you will need to create your general application; this will stay on file for four years but you should update it regularly and must, at a minimum, sign it once per year to re-activate it. You will also need to upload a copy of your transcript twice a year. Log into the Panther Portal twice a year to update your application and upload a newer transcript \u2013 we recommend doing this in November\/December and in February\/March every year.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You may see scholarships on your Panther Scholarship Portal dashboard that you can \u201cApply To.\u201d These are scholarships which require additional information beyond the general application and transcript. If you do not see \u201cApply To\u201d you are still being considered as long as your general application and transcript are up-to-date.<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"uwm-u-flex uwm-u-flex--wrap uwm-u-flex--left\">\n<a class=\"uwm-c-button uwm-u-mr-20 uwm-u-mb-20\" href=\"https:\/\/uwm.academicworks.com\/\" rel=\"\">Visit UWM&#8217;s Panther Scholarship Portal<\/a>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n<\/div>\n\n\n\n<div id=\"details-sidebar\" class=\"uwm-l-col uwm-l-col--4 uwm-l-offset--1\">\n            <nav aria-label=\"Section\" class=\"uwm-p-navigation-list uwm-p-navigation-list--gold-border uwm-u-mb-40\">\n                <div class=\"uwm-p-navigation-list--title\">\n                    <a href=\"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/\">Data Analytics &amp; Applied Artificial Intelligence<\/a>                <\/div>\n                <ul>\n                                            \n                        <li class=\"\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/ls-apps.ad.uwm.edu\/secure\/declaration\/major\/prod\/index.php?collegeFilter=data-analytics&#038;departmentFilter=data-analytics\" >Declaration of major form<\/a>                        <\/li>\n                                        <\/ul>\n            <\/nav>\n        \n\n\n\n<div class=\"uwm-l-buttons--full\">\n<a class=\"uwm-c-button uwm-c-button--full uwm-u-mb-20\" href=\"https:\/\/uwm.edu\/academics\/programs\/?_search_programs=data%20analytics\" rel=\"\">Academic Catalog<\/a>\n<\/div>\n\n\n\n\n\n\n<\/div>\n<\/div>\n\n    <\/div>\n<\/section>\n\n\n\t<\/div>\n<\/div>\n\n\n","protected":false},"author":35713,"parent":0,"template":"","meta":{"_acf_changed":false,"_uwm_academics_program_template":"page","_uwm_academics_program_navigation":[{"id":99891482,"label":"Declaration of major form","url":"https:\/\/ls-apps.ad.uwm.edu\/secure\/declaration\/major\/prod\/index.php?collegeFilter=data-analytics&amp;departmentFilter=data-analytics","target":"","rel":"","custom":true,"className":""}],"uwm_academics_program_card_image_id":508,"uwm_academics_program_banner_image_id":0,"uwm_academics_program_sort_title":"1","uwm_academics_program_external_url":"","uwm_academics_program_jump_details_btn":true,"_uwm_academics_program_exclude_from_programs_archive_page":false,"_uwm_academics_program_exclude_from_programs_block":false,"_uwm_academics_program_exclude_from_department_page":false,"footnotes":"","uwm_wg_additional_authors":[]},"program_group":[],"program_tag":[],"program_type":[25],"program_format":[35],"program_department":[],"class_list":["post-434","program","type-program","status-publish","hentry"],"uwm_unpublish_requested":false,"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.7 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data Analytics &amp; Applied Artificial Intelligence - Data Science at UWM<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Analytics &amp; Applied Artificial Intelligence\" \/>\n<meta property=\"og:url\" content=\"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Science at UWM\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-22T12:43:10+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/academics\\\/data-analytics-bs\\\/\",\"url\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/academics\\\/data-analytics-bs\\\/\",\"name\":\"Data Analytics &amp; Applied Artificial Intelligence - Data Science at UWM\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#website\"},\"datePublished\":\"2022-04-04T20:17:28+00:00\",\"dateModified\":\"2026-10-22T12:43:10+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/academics\\\/data-analytics-bs\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/uwm.edu\\\/data-science\\\/academics\\\/data-analytics-bs\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/academics\\\/data-analytics-bs\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Data Analytics &amp; Applied Artificial Intelligence\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#website\",\"url\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/\",\"name\":\"Data Science at UWM\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#organization\",\"name\":\"University of Wisconsin - Milwaukee\",\"url\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/wp-content\\\/uploads\\\/sites\\\/565\\\/2020\\\/11\\\/uwm-seo-logo.jpg\",\"contentUrl\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/wp-content\\\/uploads\\\/sites\\\/565\\\/2020\\\/11\\\/uwm-seo-logo.jpg\",\"width\":225,\"height\":224,\"caption\":\"University of Wisconsin - Milwaukee\"},\"image\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/data-science\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Data Analytics &amp; Applied Artificial Intelligence - Data Science at UWM","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/","og_locale":"en_US","og_type":"article","og_title":"Data Analytics &amp; Applied Artificial Intelligence","og_url":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/","og_site_name":"Data Science at UWM","article_modified_time":"2026-10-22T12:43:10+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/","url":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/","name":"Data Analytics &amp; Applied Artificial Intelligence - Data Science at UWM","isPartOf":{"@id":"https:\/\/uwm.edu\/data-science\/#website"},"datePublished":"2022-04-04T20:17:28+00:00","dateModified":"2026-10-22T12:43:10+00:00","breadcrumb":{"@id":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/uwm.edu\/data-science\/academics\/data-analytics-bs\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/uwm.edu\/data-science\/"},{"@type":"ListItem","position":2,"name":"Data Analytics &amp; Applied Artificial Intelligence"}]},{"@type":"WebSite","@id":"https:\/\/uwm.edu\/data-science\/#website","url":"https:\/\/uwm.edu\/data-science\/","name":"Data Science at UWM","description":"","publisher":{"@id":"https:\/\/uwm.edu\/data-science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/uwm.edu\/data-science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/uwm.edu\/data-science\/#organization","name":"University of Wisconsin - Milwaukee","url":"https:\/\/uwm.edu\/data-science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/uwm.edu\/data-science\/#\/schema\/logo\/image\/","url":"https:\/\/uwm.edu\/data-science\/wp-content\/uploads\/sites\/565\/2020\/11\/uwm-seo-logo.jpg","contentUrl":"https:\/\/uwm.edu\/data-science\/wp-content\/uploads\/sites\/565\/2020\/11\/uwm-seo-logo.jpg","width":225,"height":224,"caption":"University of Wisconsin - Milwaukee"},"image":{"@id":"https:\/\/uwm.edu\/data-science\/#\/schema\/logo\/image\/"}}]}},"acf":[],"_links":{"self":[{"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program\/434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program"}],"about":[{"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/types\/program"}],"author":[{"embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/users\/35713"}],"version-history":[{"count":54,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program\/434\/revisions"}],"predecessor-version":[{"id":1662,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program\/434\/revisions\/1662"}],"wp:attachment":[{"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/media?parent=434"}],"wp:term":[{"taxonomy":"program_group","embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program_group?post=434"},{"taxonomy":"program_tag","embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program_tag?post=434"},{"taxonomy":"program_type","embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program_type?post=434"},{"taxonomy":"program_format","embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program_format?post=434"},{"taxonomy":"program_department","embeddable":true,"href":"https:\/\/uwm.edu\/data-science\/wp-json\/wp\/v2\/program_department?post=434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}