{"id":16662,"date":"2024-11-11T16:56:54","date_gmt":"2024-11-11T22:56:54","guid":{"rendered":"https:\/\/web.saumag.edu\/academics\/?post_type=program&p=16662"},"modified":"2025-08-27T09:34:14","modified_gmt":"2025-08-27T14:34:14","slug":"data-science","status":"publish","type":"program","link":"https:\/\/web.saumag.edu\/academics\/program\/data-science\/","title":{"rendered":"Computer Science (Data Science)"},"content":{"rendered":"

The Bachelor of Science\u00a0in Computer Science: Data Science\u00a0covers knowledge on how to apply analytic techniques and algorithms\u00a0(including statistical and data mining approaches) to large data sets to find trends and extract meaningful insights.<\/p>\n

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Learning Goals<\/h3>\n
    \n
  1. Our graduates communicate effectively.<\/li>\n
  2. Our graduates can make ethical decisions related to the use of technology.<\/li>\n
  3. Our graduates demonstrate the knowledge and principles of computer operating systems, architecture and machine organization to solve problems.<\/li>\n
  4. Our graduates use technology effectively.<\/li>\n
  5. Our graduates demonstrate the knowledge and analytical skills that are required for careers in computer science.<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    The Bachelor of Science\u00a0in Computer Science: Data Science\u00a0covers knowledge on how to apply analytic techniques and algorithms\u00a0(including statistical and data mining approaches) to large data sets to find trends and extract meaningful insights. Learning Goals Our graduates communicate effectively. Our graduates can make ethical decisions related to the use of technology. Our graduates demonstrate the… Read More<\/a><\/p>\n","protected":false},"featured_media":16663,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":"","_genesis_title":"","_genesis_description":"","_genesis_noindex":"","_genesis_nofollow":"","_genesis_noarchive":"","_genesis_canonical_uri":"","_open_graph_title":"","_open_graph_description":"","_twitter_title":"","_twitter_description":"","_social_image_url":"","_social_image_id":"","redirect":"","_links_to":"","_links_to_target":""},"college_department":[18324,18306],"delivery":[255],"types":[28854,28850],"class_list":{"0":"post-16662","1":"program","2":"type-program","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"college_department-mathematics-and-computer-science","8":"college_department-college-of-science-and-engineering","9":"delivery-on-campus","10":"types-major","11":"types-undergraduate","12":"entry"},"acf":{"department_college":"Mathematics & Computer Science<\/a>\u00a0\/\u00a0College of Science & Engineering<\/a>","Number_of_Hours":"120","Catalog Entry":"The Bachelor of Science in Computer Science: Data Science covers knowledge on how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to find trends and extract meaningful insights.\r\n\r\nOur goal for our graduates is to be able to apply computational, mathematical, and statistical thinking to data-rich problems in a wide variety of fields to gain deeper insight in a responsible and ethical manner.\r\n

    University Requirement (2 hours)<\/h4>\r\nGSTD 1002 - Freshman Seminar\r\n

    General Education (28 hours)<\/h4>\r\nNote:<\/strong> 7 hours of mathematics and physical science requirements are included in the major.\r\n

    Computer Science (38 hours)<\/h4>\r\nCSCI 2103 - Computer Science I and CSCI 2101 - Computer Science I Lab\r\nCSCI 2113 - Computer Science II and CSCI 2111 - Computer Science II Lab\r\nCSCI 3103 - Data Structures and Algorithms\r\nCSCI 3213 - Computer Networking\r\nCSCI 3233 - Theory of Computation\r\nCSCI 3403 - Artificial Intelligence\r\nCSCI 3703 - Computer Architecture\r\nCSCI 4133 - Operating Systems\r\nCSCI 4143 - Programming Languages and Compilers\r\nCSCI 4153 - Software Engineering\r\nCSCI 4203 - Database Design and Implementation\r\n3 hours of upper-level Computer Science, Data Science, or Mathematics electives\r\n

    Data Science (20 hours)<\/h4>\r\nDSCI 3003 - Introduction to Data Science\r\nDSCI 4013 - Data Mining and Visualization\r\nDSCI 4023 - Machine Learning\r\nDSCI 4103 - Big Data and Cloud Computing\r\nDSCI 4213 - Privacy, Security, and Ethics\r\nDSCI 4641 - Data Science Internship\r\nDSCI 4922 - Senior Project I\r\nDSCI 4932 - Senior Project II\r\n

    Mathematics (25 hours)<\/h4>\r\nMATH 1525 - Calculus I or MATH 2125 - Applied Calculus\r\nMATH 1545 - Calculus II\r\nMATH 2033 - Discrete Mathematics\r\nMATH 2563 - Calculus III\r\nMATH 2753 - Linear Algebra\r\nMATH 3043 - Applied Probability and Statistics I\r\nMATH 4533 - Statistical Methods\r\n

    Physics (4 hours)<\/h4>\r\nSelect one<\/strong> of the following course combinations:\r\n\r\nPHYS 2003 - College Physics I and PHYS 2001 - College Physics I Lab\r\nor\r\n\r\nPHYS 2203 - University Physics I and PHYS 2201 - University Physics I Lab\r\n

    Other Requirements (3 hours)<\/h4>\r\nENGL 3023 - Technical Writing\r\n

    Total Hours - 120<\/h4>","minor_requirements":"","Degree Plans":"