The Bachelor of Science\u00a0in Mathematics: Data Science Option covers 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
Goal:\u00a0<\/strong>Our graduates will 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.<\/p>\n A degree in mathematics opens the door for a variety\u00a0of career options or graduate school programs.\u00a0Career options might include actuary, statistician, industrial\u00a0mathematician, applied mathematician, or\u00a0mathematics educator.<\/p>\n The Department of Mathematics and Computer Science\u00a0offers undergraduate and graduate degrees. We\u00a0offer a wide variety of courses at the undergraduate\u00a0and graduate levels. Such courses are designed to\u00a0meet the needs of general education and to serve the\u00a0needs of other majors.<\/p>\n The Bachelor of Science\u00a0in Mathematics: Data Science Option covers 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. Goal:\u00a0Our graduates will be able to apply computational, mathematical, and statistical thinking to data-rich problems in a wide variety of fields… Read More<\/a><\/p>\n","protected":false},"featured_media":16681,"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-16680","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":{"page_layout":"legacy","department_college":"Department of Mathematics and Computer Sciences<\/a> \/ College of Science and Engineering<\/a>","Number_of_Hours":"120","Catalog Entry":"The Bachelor of Science in Mathematics: Data Science Option 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\nGoal:<\/strong> Our graduates will 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\nCareers<\/h3>\n
About SAU Mathematics<\/h3>\n
Learning Goals<\/h3>\n
\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
Mathematics (49 hours)<\/h4>\r\nMATH 1525 - Calculus I\r\nMATH 1545 - Calculus II\r\nMATH 2033 - Discrete Mathematics\r\nMATH 2563 - Calculus III\r\nMATH 2753 - Linear Algebra\r\nMATH 3033 - Differential Equations\r\nMATH 3043 - Applied Probability and Statistics I\r\nMATH 3063 - Abstract Algebra\r\nMATH 3083 - Principles of Analysis\r\nMATH 3143 - Applied Probability and Statistics II\r\nMATH 4003 - College Geometry\r\nMATH 4033 - Introduction to Complex Variables\r\nMATH 4043 - Numerical Analysis\r\nMATH 4533 - Statistical Methods\r\n
Select 3 hours from the following:<\/h4>\r\nMATH 4023 - Point-Set Topology\r\nMATH 4123 - History of Mathematics\r\nMATH 4613 - Special Topics in Mathematics\r\n
Computer Science (14 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 4203 - Database Design and Implementation\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
Physical Science (4 hours)<\/h4>\r\nSelect one<\/strong> of the following course combinations:\r\n\r\nCHEM 1023 - University Chemistry I and CHEM 1021 - University Chemistry 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>","Admission Requirements or Deadlines":"","minor_requirements":"","Degree Plans":"
\r\n \t