{"id":1003,"date":"2020-09-29T15:23:04","date_gmt":"2020-09-29T15:23:04","guid":{"rendered":"http:\/\/developmenttwo.marymount.edu\/academics\/?page_id=1003"},"modified":"2026-03-12T14:43:17","modified_gmt":"2026-03-12T18:43:17","slug":"data-science-track","status":"publish","type":"page","link":"https:\/\/marymount.edu\/academics\/college-of-business-innovation-leadership-and-technology\/school-of-technology-and-innovation\/graduate-programs\/technology-master-s-programs\/information-technology-m-s\/program-requirements\/data-science-track\/","title":{"rendered":"Data Science Track Requirements"},"content":{"rendered":"

Data science is the fastest growing component of information technology, with a large number of jobs available, some of these in government and also many in the private sector. There are many different jobs in data science but the underlying driving factor behind high data science demand is the power of big data in many fields including business, technology, science, and medical. As data has exploded everywhere so the need to collect, manage, and analyze has also increased. Organizations are looking for additional \u201cvalue\u201d from their data and are hiring people with data science backgrounds to assist them. This track focuses on the applied tools, technologies, and methodologies that make data science work in a variety of disciplines from business to healthcare.<\/p>\n

Data Science Specialization<\/h4>\n\n\n\n\n
DATA 546<\/a><\/td>\nPrinciples of Data Science<\/td>\n\n

3<\/p>\n<\/td>\n<\/tr>\n

IT 566<\/a><\/td>\nComputer Scripting Techniques<\/td>\n\n

3<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Data Science Electives<\/h5>\n

Take two (2) electives from the following:<\/p>\n\n\n\n\n\n
DATA 556<\/a><\/td>\nData Visualization<\/td>\n\n

3<\/p>\n<\/td>\n<\/tr>\n

DATA 576<\/a><\/td>\nNatural Language Processing (NLP) Techniques<\/td>\n\n

3<\/p>\n<\/td>\n<\/tr>\n

DATA 586<\/a><\/td>\nMachine Learning<\/td>\n\n

3<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Data science is the fastest growing component of information technology, with a large number of jobs available, some of these in government and also many in the private sector. There are many different jobs in data science but the underlying driving factor behind high data science demand is the power of big data in many […]<\/p>\n

Read More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":999,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"page-templates\/left-sidebarpage.php","meta":{"_acf_changed":false,"_lmt_disableupdate":"no","_lmt_disable":"","ngg_post_thumbnail":0,"footnotes":"","advanced-sidebar-menu\/link-title":"","advanced-sidebar-menu\/exclude-page":false},"class_list":["post-1003","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nData Science Track Requirements - Marymount University<\/title>\n<meta name=\"description\" content=\"Data science is the fastest growing component of information technology, with a large number of jobs available, some of these in government and also many Data Science Track Requirements. 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