{"id":22892,"date":"2022-08-17T11:34:05","date_gmt":"2022-08-17T15:34:05","guid":{"rendered":"https:\/\/web.uri.edu\/online\/?page_id=22892"},"modified":"2022-10-05T15:03:07","modified_gmt":"2022-10-05T19:03:07","slug":"data-science-master-curriculum","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/online\/programs\/graduate\/master-data-science\/data-science-master-curriculum\/","title":{"rendered":"Curriculum &#8211; Data Science MA"},"content":{"rendered":"<section class=\"cl-wrapper cl-menu-wrapper\"><nav id=\"\" class=\"cl-menu  \" data-name=\"Data Science Master Degree\" data-show-title=\"0\"><ul id=\"menu-data-science-master-degree\" class=\"cl-menu-list cl-menu-list-no-js\"><li id=\"menu-item-22918\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-22918\"><a href=\"https:\/\/web.uri.edu\/online\/programs\/graduate\/master-data-science\/\">Overview<\/a><\/li>\n<li id=\"menu-item-22927\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-22927\"><a href=\"https:\/\/web.uri.edu\/online\/programs\/graduate\/master-data-science\/data-science-master-faculty\/\">Faculty<\/a><\/li>\n<li id=\"menu-item-22922\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-22922\"><a href=\"https:\/\/web.uri.edu\/online\/programs\/graduate\/master-data-science\/data-science-master-tuition-fees\/\">Tuition and Fees<\/a><\/li>\n<li id=\"menu-item-26824\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-home menu-item-26824\"><a href=\"https:\/\/web.uri.edu\/online\/\">URI Online Home<\/a><\/li>\n<\/ul><\/nav><\/section>\n\n<section class=\"cl-wrapper cl-hero-wrapper\"><div class=\"cl-hero fullwidth   cl-has-accessibility-controls\"><div class=\"cl-hero-proper\"><div class=\"overlay\"><div class=\"block\"><h1>Curriculum<\/h1><\/div><\/div><div class=\"still\" style=\"background-image:url(https:\/\/web.uri.edu\/wp-content\/uploads\/sites\/1614\/Data-Science-Hero.jpg);\"><\/div><div class=\"cl-accessibility-controls-container\"><div class=\"cl-accessibility-controls\"><div class=\"cl-accessibility-icon\" title=\"Accessibility controls\">Accessibility controls<\/div><div class=\"cl-accessibility-control cl-accessibility-motion-control cl-accessibility-control-hidden\"><div class=\"cl-accessibility-control-default\"><div class=\"cl-accessibility-control-button\" title=\"Pause motion\">Pause motion<\/div><div class=\"cl-accessibility-control-label\">Motion: <span class=\"cl-accessibility-syntax\">On<\/span><\/div><\/div><div class=\"cl-accessibility-control-alternate\"><div class=\"cl-accessibility-control-button\" title=\"Play motion\">Play motion<\/div><div class=\"cl-accessibility-control-label\">Motion: <span class=\"cl-accessibility-syntax\">Off<\/span><\/div><\/div><\/div><div class=\"cl-accessibility-control cl-accessibility-contrast-control\"><div class=\"cl-accessibility-control-default\"><div class=\"cl-accessibility-control-button\" title=\"Increase text contrast\">Increase text contrast<\/div><div class=\"cl-accessibility-control-label\">Contrast: <span class=\"cl-accessibility-syntax\">Standard<\/span><\/div><\/div><div class=\"cl-accessibility-control-alternate\"><div class=\"cl-accessibility-control-button\" title=\"Reset text contrast\">Reset text contrast<\/div><div class=\"cl-accessibility-control-label\">Contrast: <span class=\"cl-accessibility-syntax\">High<\/span><\/div><\/div><\/div><div class=\"cl-accessibility-system-setting\"><div class=\"cl-accessibility-toggle\" title=\"Apply my preferences site-wide\"><\/div><div class=\"cl-accessibility-toggle-label\">Apply site-wide<\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n<h2 class=\"wp-block-heading\">Data Science, M.S. (Online)<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>This is a non-thesis program, requiring 30 credit hours and a culminating experience that demonstrates the student\u2019s ability to apply data science concepts to solve a complex, relevant real-world problem. Students are able to choose from areas of interest such as business, biology or the environment. <\/p>\n\n\n\n<p>If you are in need of additional basic skill building before starting the program, URI Online offers two bridge courses that can be taken in the summer or fall.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><a class=\"cl-button   prominent\" href=\"https:\/\/gradcas.liaisoncas.org\/apply\/\" title=\"\">APPLY NOW<\/a>\n\n\n<div style=\"height:62px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<a class=\"cl-button   prominent\" href=\"https:\/\/web.uri.edu\/online\/contact\/\" title=\"\">REQuest information<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Ten Required Courses<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">DSP555:&nbsp;Multivariate Statistical Learning for Data Science<\/h3>\n\n\n\n<p>(3 crs.) Multivariate data organization and visualization, multivariate distributions, tests of hypotheses on mean vectors, multivariate regression and classification, penalized regression, tree-based methods, principal component analysis, clustering, cross-validation, and bootstrapping.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP556:&nbsp;Machine Learning for Data Science<\/h3>\n\n\n\n<p>(3 crs.) Survey of traditional and newly developed machine learning techniques from an applied perspective, with emphasis on applications to a variety of domains. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP562:&nbsp;Data Analytics &amp; Visualization<\/h3>\n\n\n\n<p>(3 crs.) Basic principles and approaches to data visualization, as well as essential methods for data acquisition, cleaning, and aggregation, using Python programming language and Tableau, a powerful, interactive data visualization application.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP563:&nbsp;Applied Mathematics in Data Science<\/h3>\n\n\n\n<p>(3 crs.) Introduction to mathematical foundations necessary to effectively study problems in data science and machine learning. Use linear algebra and optimization to pose and solve modern problems leveraging data from diverse applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP565:&nbsp;Computational Statistics<\/h3>\n\n\n\n<p>(3 crs.) Statistical methods using R: Empirical Bayes, James-Stein, regression trees, EM algorithm, Jackknife and bootstrap, cross validation, large-scale hypothesis testing, false discovery rate, sparse modeling, LASSO, random forest, boosting, deep learning<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP566:&nbsp;Advanced Topics in Machine Learning<\/h3>\n\n\n\n<p>(3 crs.) Students build a thorough understanding of state -of-the art ML algorithms, including techniques that enable understanding of when and why machine learning works in order to design such algorithms.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP567:&nbsp;Database Concepts, Cloud Computing, and Big Data<\/h3>\n\n\n\n<p>(3 crs.) Foundational and recent inventions in data management research.&nbsp; Topics include, indexing, query processing, query languages, NoSQL databases, spatial databases, data warehousing, business intelligence, and big data frameworks.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP568:&nbsp;Data Science for Business<\/h3>\n\n\n\n<p>(3 crs.) Apply Data Science techniques to business functions, including decision-making, finance, accounting, marketing, operations management, information technology, human resources, etc. Includes data visualization and machine learning in a business context.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP569:&nbsp;Applications of Data Science in Biological Science<\/h3>\n\n\n\n<p>(3 crs.) Use data science techniques in data-enabled research in a topic within the biological and life sciences.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">DSP557:&nbsp;Interdisciplinary Data Enabled Research\/Capstone<\/h3>\n\n\n\n<p>(3 crs.) Students apply theoretical knowledge acquired during the Data Science Certificate program to a project involving actual data in a realistic setting. A Team-based capstone data project will provide real-world experiences of data-driven research for students. <\/p>\n\n\n\n<hr class=\"wp-block-separator is-style-default\" \/>\n\n\n\n<h1 class=\"wp-block-heading\">Get in touch.<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>URI Online Student Support Center<\/strong><\/h2>\n\n\n\n<p>401.874.5280<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Program Director<\/strong><\/h2>\n\n\n\n<p>Nancy Eaton, Professor &amp; Director of Data Science<br>401.874.4107<br><a href=\"mailto:neaton@uri.edu\">neaton@uri.edu<\/a><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><a class=\"cl-button   prominent\" href=\"https:\/\/gradcas.liaisoncas.org\/apply\/\" title=\"\">apply now<\/a><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><a class=\"cl-button   prominent\" href=\"https:\/\/web.uri.edu\/online\/contact\/\" title=\"\">request info<\/a><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><a class=\"cl-button   prominent\" href=\"https:\/\/web.uri.edu\/online\/programs\/graduate\/master-data-science\/data-science-master-admission\/\" title=\"\">admission<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Data Science, M.S. (Online) This is a non-thesis program, requiring 30 credit hours and a culminating experience that demonstrates the student\u2019s ability to apply data science concepts to solve a complex, relevant real-world problem. Students are able to choose from areas of interest such as business, biology or the environment. If you are in need [&hellip;]<\/p>\n","protected":false},"author":4701,"featured_media":0,"parent":22882,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-22892","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/pages\/22892","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/users\/4701"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/comments?post=22892"}],"version-history":[{"count":5,"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/pages\/22892\/revisions"}],"predecessor-version":[{"id":23952,"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/pages\/22892\/revisions\/23952"}],"up":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/pages\/22882"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/online\/wp-json\/wp\/v2\/media?parent=22892"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}