{"id":502,"date":"2022-04-07T12:56:37","date_gmt":"2022-04-07T17:56:37","guid":{"rendered":"https:\/\/uwm.edu\/data-science\/?post_type=program&#038;p=502"},"modified":"2026-10-26T14:01:08","modified_gmt":"2026-10-26T19:01:08","slug":"data-science-ms","status":"publish","type":"program","link":"https:\/\/uwm.edu\/data-science\/academics\/data-science-ms\/","title":{"rendered":"Data Science and 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 Science and Applied Artificial Intelligence                    <div class=\"program-degree size-h3 uwm-u-mt-20\">MS<\/div>\n            <\/h1>\n<\/header>\n  \n\n\n\n\n<p class=\"lead-in wp-block-paragraph\">Data science and AI are advancing virtually every aspect of our world. Data science degree programs at UW-Milwaukee prepare graduates to drive new data-centric advancements with the potential to improve daily life for everyone. Our master\u2019s in Data Science and Applied Artificial Intelligence paves the way to the future you\u2019re dreaming about.<\/p>\n\n\n\n<p class=\"size-p-lg wp-block-paragraph\">A master\u2019s in Data Science and Applied Artificial Intelligence from UW-Milwaukee opens doors to amazing jobs just waiting to be filled. Data science and AI jobs are projected to grow by 35% (much faster than the average for all occupations) by 2032.<sup>1<\/sup> And nationwide, close to a quarter of U.S. job postings require data science and AI skills.<sup>2<\/sup> Additionally, recent research reveals that 30% of employers seek data scientists with a master\u2019s degree.<sup>3&nbsp; <\/sup>With a master\u2019s in Data Science and Applied Artificial Intelligence from UW-Milwaukee, you may just find yourself with a choice of dream jobs.<\/p>\n\n\n\n<p class=\"size-p-sm wp-block-paragraph\"><sup>1<\/sup>U.S. Bureau of Labor Statistics&nbsp;<\/p>\n\n\n\n<p class=\"size-p-sm wp-block-paragraph\"><sup>2<\/sup>Burning Glass Institute and ExcelinEd 2024&nbsp;<\/p>\n\n\n\n<p class=\"size-p-sm wp-block-paragraph\"><sup>3<\/sup>\u201cThe Data Scientist Job Market in 2024 [Research on 1,000 Job Postings],\u201d\u202f<a href=\"https:\/\/365datascience.com\/career-advice\/data-scientist-job-market\/\" target=\"_blank\" rel=\"noreferrer noopener\">365datascience.com\/career-advice\/data-scientist-job-market\/<\/a>, Aug. 6, 2024.&nbsp;<\/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>Master&#8217;s<\/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, Online<\/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        <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_1709ab10-4705-4b06-9a9a-43e31327c124'>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\/applygrad\/\" 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=1709ab10-4705-4b06-9a9a-43e31327c124&amp;output=embed&amp;div=form_1709ab10-4705-4b06-9a9a-43e31327c124'>\/**\/<\/script>\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-stats\" class=\"uwm-l-row\">\n<div class=\"uwm-l-col\">\n\n<h2 id=\"h-master-s-in-data-science-and-applied-artificial-intelligence-at-uw-milwaukee\" class=\"wp-block-heading heading-separator-short\">Master\u2019s in Data Science and Applied Artificial Intelligence at UW-Milwaukee<\/h2>\n\n\n\n<h3 id=\"h-a-unique-degree-built-on-your-needs-preferences-and-chosen-field-nbsp\" class=\"wp-block-heading\">A unique degree built on your needs, preferences and chosen field&nbsp;<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Start the program with ANY academic background, take courses in a wide variety of disciplines\/fields (business, computer science, engineering, etc.), pursue graduate-level data science and AI courses and choose your own path to success.&nbsp;<\/li>\n\n\n\n<li>Enroll in the data science and applied artificial intelligence master\u2019s with a bachelor\u2019s in the field you\u2019re passionate about and become a data scientist in that field.&nbsp;<\/li>\n\n\n\n<li>Complete the program with dual credentials that set you apart from your peers and help enhance your professional and personal achievements.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019re currently a working professional, you can enroll in UWM\u2019s data science and applied artificial intelligence master\u2019s  program to stack additional credentials and help advance your career.&nbsp;<\/p>\n\n<\/div>\n\n\n\n<div class=\"uwm-l-col uwm-l-col--6 uwm-l-offset--1\">\n<div class=\"uwm-p-gridblock uwm-p-gridblock--3-border uwm-p-gridblock--3\"><div class=\"uwm-p-gridblock--block uwm-p-block--stat uwm-p-block--default \"><div class=\"uwm-p-block--content-wrap\"><span><strong>30<\/strong>credits total<\/span><\/div><\/div>\n\n<div class=\"uwm-p-gridblock--block uwm-p-block--stat uwm-p-block--default \"><div class=\"uwm-p-block--content-wrap\"><span><strong>18<\/strong>core credits<\/span><\/div><\/div>\n\n<div class=\"uwm-p-gridblock--block uwm-p-block--stat uwm-p-block--default \"><div class=\"uwm-p-block--content-wrap\"><span><strong>12<\/strong>electives to specialize in your area of interest<\/span><\/div><\/div><\/div>\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-yrq7-program-details\" class=\"uwm-p-tablist--link\">Program Details<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-yrq7-curriculum\" class=\"uwm-p-tablist--link\">Curriculum<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-yrq7-internship-thesis-exam\" class=\"uwm-p-tablist--link\">Internship\/Thesis\/Exam<\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-yrq7-time-to-degree\" class=\"uwm-p-tablist--link\">Time to Degree <\/a><\/li><li class=\"uwm-p-tablist--item\"><a href=\"#tab-yrq7-partnership\" class=\"uwm-p-tablist--link\">Partnership<\/a><\/li><\/ul><div class=\"uwm-p-tabcontent\">\n<div id=\"tab-yrq7-program-details\" class=\"uwm-p-tabcontent--pane\">\n<p class=\"lead-in wp-block-paragraph\">In the Data Science master\u2019s program at UW-Milwaukee, you\u2019ll learn skills and insights to help you land an in-demand, data-centric role in your chosen field.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Explore current program requirements and courses, access the official program application and discover more great reasons to choose a data science master\u2019s and UWM in our <a href=\"https:\/\/catalog.uwm.edu\/graduate-school\/data-science-applied-artificial-intelligence-ms\/\">academic catalog<\/a>.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-core-areas-of-study-nbsp\" class=\"wp-block-heading\">Core areas of study&nbsp;<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Developing insights from data, for applications&nbsp;<\/li>\n\n\n\n<li>Organizing and maintaining large data sets&nbsp;<\/li>\n\n\n\n<li>Learning methods like AI and machine learning to extract insight from data&nbsp;<\/li>\n\n\n\n<li>Building knowledge and skills for using probabilistic methods to analyze uncertainty in data and develop insights&nbsp;<\/li>\n\n\n\n<li>Using advanced programming for data collection and data science&nbsp;<\/li>\n\n\n\n<li>Understanding the importance of, and skills for, the ethical use of data&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 id=\"h-student-learning-outcomes-and-program-objectives\" class=\"wp-block-heading\">Student Learning Outcomes and Program Objectives<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The core objective of the M.S. in Data Science is to prepare students to pursue a data science oriented career path in the discipline that they are passionate about. The program is designed to allow students to progress through the areas mentioned above. Graduates of the M.S. in Data Science will be prepared to apply the concepts of data science inter-disciplinarily to problems in a variety of fields and industries and appreciate and abide by ethical uses of data and insights from the use of data science. Students will:<\/p>\n\n\n\n<ol style=\"list-style-type:1\" class=\"wp-block-list\">\n<li>Develop insights from data, for applications,<\/li>\n\n\n\n<li>Learn how to work with large data sets,<\/li>\n\n\n\n<li>Gain experience in advanced computer programming for data science<\/li>\n\n\n\n<li>Become skilled in specific areas of data science such as artificial intelligence and machine learning<\/li>\n\n\n\n<li>Understand how to deal with uncertainty which is an inherent characteristic of data science and<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Recognize and internalize the importance of ethical use of data and data science.<\/p>\n<\/div>\n\n\n\n<div id=\"tab-yrq7-curriculum\" class=\"uwm-p-tabcontent--pane\">\n<h2 id=\"h-program-requirements-and-curriculum\" class=\"wp-block-heading\">Program Requirements and Curriculum<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Explore the MS in Data Science and Applied Artificial Intelligence at UW-Milwaukee, an interdisciplinary program that prepares you to analyze complex data, apply artificial intelligence and machine learning, and develop data-driven solutions across a variety of fields. Review admission requirements, prerequisite coursework, degree requirements and curriculum details in the UWM Graduate Catalog to plan your path toward a degree.<\/p>\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:\/\/catalog.uwm.edu\/graduate-school\/data-science-applied-artificial-intelligence-ms\/#requirementstext\" rel=\"\">MS in Data Science and Applied AI Requirements<\/a>\n<\/div>\n<\/div>\n\n\n\n<div id=\"tab-yrq7-internship-thesis-exam\" class=\"uwm-p-tabcontent--pane\">\n<h2 id=\"h-optional-internship-thesis-capstone\" class=\"wp-block-heading\">Optional: Internship \/ Thesis \/ Capstone<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Of the required 12 elective credits, up to three credits may be awarded for a thesis or internship. Students who choose this option must complete a relevant thesis or internship that is approved by the program director. Students who choose to complete a thesis must work with a thesis advisor and have the thesis approved by the advisor and the program director. Students who choose to pursue an internship must also obtain approval from the program director. Students may select from courses such as those listed below or enroll for thesis\/internship credits with their thesis advisor (in the advisor\u2019s department).<\/p>\n\n\n\n<figure class=\"uwm-c-table uwm-c-table--stripe\"><table><thead><tr><th>Course Number<\/th><th>Course Name<\/th><\/tr><\/thead><tbody><tr><td>INFOST 790&nbsp;<\/td><td>Project Design, Implementation, and Evaluation<\/td><\/tr><tr><td>GEOG 798&nbsp;&nbsp;<\/td><td>GIS\/Cartography Internship<\/td><\/tr><tr><td>URBPLAN 793<\/td><td>Applied Projects in Urban Geographic Information Systems<\/td><\/tr><tr><td>URBPLAN 991<\/td><td>Legislative\/Administrative Agency Internship<\/td><\/tr><tr><td>MATH 790&nbsp;<\/td><td>Master&#8217;s Thesis<\/td><\/tr><tr><td>COMPSCI 990 &nbsp;<\/td><td> Master\u2019s Thesis<\/td><\/tr><tr><td>COMPSCI 995 <\/td><td>Master&#8217;s Capstone Project<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 id=\"h-qualifying-exam\" class=\"wp-block-heading\">Qualifying Exam<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Students who do not choose to pursue the optional capstone course\/thesis\/internship option are required to pass a qualifying exam. During this exam, students are given a data set and a research problem to be addressed with the data, using data science techniques. Students must submit a final report in which they use the provided data set to address the research question and demonstrate that they have developed a sufficient level of expertise to work as a data scientist. This is a take-home exam and students will have seven days to complete it.<\/p>\n<\/div>\n\n\n\n<div id=\"tab-yrq7-time-to-degree\" class=\"uwm-p-tabcontent--pane\">\n<p class=\"wp-block-paragraph\">The program requires completion of 30 credits. A full-time student would typically complete the requirements in two years or four semesters. A part-time student enrolling in one course per semester would require 10 semesters to complete the program.<\/p>\n<\/div>\n\n\n\n<div id=\"tab-yrq7-partnership\" class=\"uwm-p-tabcontent--pane\">\n<h2 id=\"h-partnership-with-the-northwestern-mutual-data-science-institute-nbsp\" class=\"wp-block-heading\">Partnership with the Northwestern Mutual Data Science Institute&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">UW-Milwaukee is a founding partner of the Northwestern Mutual Data Science Institute (<a href=\"https:\/\/innv.northwesternmutual.com\/northwestern-mutual-data-science-institute\/\" target=\"_blank\" rel=\"noreferrer noopener\">NMDSI<\/a>), a $75 million initiative created to develop degree programs that graduate professionals skilled in data science and AI.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This unique partnership means that as a UWM Data Science master\u2019s program student, you\u2019ll:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Benefit from NMDSI mentoring opportunities, research support and student funding opportunities to enhance your academic and professional achievements.&nbsp;<\/li>\n\n\n\n<li>Collaborate with expert faculty leaders in programs\/fields including computer science, statistics, marketing, health, public health and education.&nbsp;<\/li>\n\n\n\n<li>Work directly with employers to solve real-world problems via data science and AI.&nbsp;<\/li>\n<\/ul>\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\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:\/\/catalog.uwm.edu\/graduate-school\/data-science-applied-artificial-intelligence-ms\/\" rel=\"\">Academic Catalog<\/a>\n<\/div>\n\n\n\n\n    <div class=\"uwm-p-card uwm-p-card--color-head uwm-u-mt-40\">\n        <div class=\"uwm-p-card--title\">Important Dates<\/div>\n        <div class=\"uwm-p-card--body\">\n            <div class=\"uwm-p-card--content\">\n                <strong>Domestic students priority application deadline:\u00a0<\/strong><br><em>Spring semester:<\/em> Nov. 15<br><em>Fall semester: <\/em><br>Dec. 15 &#8211; Priority deadline to be considered for funding. <br>April 15 &#8211; Recommended deadline for all other applications.<br><br><strong>International students priority deadline<\/strong>\u00a0<br><em>Spring semester:<\/em> July 15\u00a0<br><em>Fall semester: <\/em>Dec. 15 &#8211; Priority deadline to be considered for funding.\u00a0<br><br>Applications for all students and all semesters continue to be accepted after the priority deadlines (rolling admission).\u00a0                <\/div>\n        <\/div>\n    <\/div>\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":9839,"parent":0,"template":"","meta":{"_acf_changed":false,"_uwm_academics_program_template":"page","_uwm_academics_program_navigation":[{"id":1180,"label":"Master's of Data Science Information Sessions","url":"https:\/\/uwm.edu\/data-science\/academics\/data-science-ms\/information-sessions\/","target":"","rel":"","custom":false,"className":""}],"uwm_academics_program_card_image_id":541,"uwm_academics_program_banner_image_id":0,"uwm_academics_program_sort_title":"","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":["strehlos@uwm.edu"]},"program_group":[],"program_tag":[],"program_type":[27],"program_format":[35,36],"program_department":[],"class_list":["post-502","program","type-program","status-publish","hentry"],"uwm_unpublish_requested":false,"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.8 (Yoast SEO v28.8) - 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