{"id":11834,"date":"2017-02-18T10:44:32","date_gmt":"2017-02-18T16:44:32","guid":{"rendered":"https:\/\/web.saumag.edu\/academics\/?post_type=program&#038;p=11834"},"modified":"2026-06-16T16:57:21","modified_gmt":"2026-06-16T21:57:21","slug":"master-science-computer-information-science-data-science-option","status":"publish","type":"program","link":"https:\/\/www.saumag.edu\/academics\/program\/master-science-computer-information-science-data-science-option\/","title":{"rendered":"Master of Science in Computer and Information Science &#8211; Data Science Option"},"content":{"rendered":"<p>The <strong>Master of Science in Computer and Information Sciences (MCIS) with a focus on Data Science<\/strong> at Southern Arkansas University is a specialized STEM-certified program combines advanced computer science principles, statistical modeling, machine learning, and artificial intelligence to equip students with the skills needed to analyze complex datasets, build predictive models, and develop intelligent solutions for real-world challenges. Students gain hands-on experience with modern data science tools and techniques, including data mining, machine learning, data visualization, predictive analytics, and AI-driven decision making. Through a blend of theoretical foundations and practical applications, graduates are prepared to transform data into actionable insights and create scalable solutions for industries ranging from healthcare and finance to technology and government. This concentration is ideal for students seeking careers as <strong>Data Scientists, Machine Learning Engineers, AI Specialists, Data Analysts, Business Intelligence Professionals<\/strong>, and other data-centric roles in the rapidly evolving digital economy.<\/p>\n<h3>Program Format &amp; Flexibility<\/h3>\n<p>The MCIS program offers a flexible and student-centered learning environment tailored to both full-time students and working professionals.<\/p>\n<ul>\n<li><strong>Online<\/strong>: Complete your degree from anywhere in the United States with 100% virtual coursework.<\/li>\n<li><strong>On-Campus<\/strong>: Engage in hands-on labs and face-to-face collaboration in Magnolia.<\/li>\n<li><strong>Hybrid<\/strong>: Utilize a blend of both formats to balance your career and education.<\/li>\n<\/ul>\n<h3>Program Duration &amp; Start Dates<\/h3>\n<ul>\n<li><strong>Duration<\/strong>: Typically completed in 18\u201324 months.<\/li>\n<li><strong>Start Dates<\/strong>: Rolling admissions with intakes available for Fall, Spring, and Summer.<\/li>\n<li><strong>Deadlines<\/strong>: * Fall: July 20 | Spring: December 1 | Summer I: April 1 | Summer II: June 1<\/li>\n<li><strong>Accelerated Master\u2019s Option<\/strong>: High-achieving SAU undergraduates can begin earning Data Science credits during their senior year, shortening the path to graduation.<\/li>\n<\/ul>\n<h3>Why Choose the Data Science Track at SAU?<\/h3>\n<ul>\n<li><strong>STEM Designation<\/strong>: As a STEM-certified program, international students are eligible for a 24-month OPT extension (36 months total).<\/li>\n<li><strong>Specialized Faculty and Research Projects<\/strong>: Experienced AI and Data Science Faculty, funded research projects.<\/li>\n<li><strong>Cost-Effectiveness<\/strong>: SAU offers one of the most affordable high-quality graduate computer science programs in the region.<\/li>\n<\/ul>\n<h3>Skills You Will Gain<\/h3>\n<ul>\n<li><strong>Machine Learning &amp; AI<\/strong>: Design and implement neural networks and predictive algorithms.<\/li>\n<li><strong>Big Data Infrastructure<\/strong>: Master the tools required to manage and process petabyte-scale information.<\/li>\n<li><strong>Advanced Data Visualization<\/strong>: Communicate complex technical findings to non-technical stakeholders using tools like Python, R, and Tableau.<\/li>\n<li><strong>Statistical Modeling<\/strong>: Apply advanced mathematical concepts to solve real-world predictive challenges.<\/li>\n<\/ul>\n<h3>Faculty &amp; Digital Learning Environment<\/h3>\n<ul>\n<li><strong>Research-Active Faculty<\/strong>: Learn from professors who are experts in AI, machine learning, cyber security and cloud computing.<\/li>\n<li><strong>State-of-the-Art Labs<\/strong>: Access virtualized environments and physical labs equipped with the latest hardware.<\/li>\n<li><strong>Class Projects and Internship<\/strong>: Most courses include hands-on implementation or research projects, providing practical experience with real-world challenges. Internship opportunities further enhance learning by offering valuable industry exposure and professional experience.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The Master of Science in Computer and Information Sciences (MCIS) with a focus on Data Science at Southern Arkansas University is a specialized STEM-certified program combines advanced computer science principles, statistical modeling, machine learning, and artificial intelligence to equip students with the skills needed to analyze complex datasets, build predictive models, and develop intelligent solutions&#8230; <a class=\"more-link\" href=\"https:\/\/www.saumag.edu\/academics\/program\/master-science-computer-information-science-data-science-option\/\"> Read More<\/a><\/p>\n","protected":false},"featured_media":16413,"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":[18307,18324,18306],"delivery":[28836,255,28834],"types":[28851],"class_list":["post-11834","program","type-program","status-publish","format-standard","has-post-thumbnail","college_department-school-of-graduate-studies","college_department-mathematics-and-computer-science","college_department-college-of-science-and-engineering","delivery-hybrid","delivery-on-campus","delivery-online","types-graduate","entry"],"acf":{"page_layout":"standard","landing_page_url":"https:\/\/www.saumag.edu\/mcis\/","department_college":"<a href=\"http:\/\/www.saumag.edu\/academics\/science_and_technology\/mathematics_and_computer_science\/\">Mathematics &amp; Computer Science<\/a>\u00a0\/\u00a0<a href=\"https:\/\/www.saumag.edu\/science\/\">College of Science &amp; Engineering<\/a>","badge_text":"","Number_of_Hours":"30","tuition_instate":"$329\/credit hour","tuition_outstate":"$516\/credit hour","estimated_total_tuition":"~ $9,870 (In-State) to ~ $15,480 (Out-of-State)","start_dates":"Rolling admissions (Fall, Spring, Summer)","duration":"2 years","Degree Plans":"<a href=\"https:\/\/catalog.saumag.edu\/preview_program.php?catoid=9&amp;poid=2089&amp;returnto=346\">2025-2026<\/a>","Program_Contact_Info":"[dirswitch contacts=\"karim-md\"]","Catalog Entry":"<strong>Computer and Information Science: Data Science, MS (30 Hours)<\/strong>\r\n\r\nStudents must complete core computational requirements plus specialized courses in their chosen track. Students choose two additional elective courses from any concentration area based on their academic interests and professional objectives.\r\n\r\n<strong>Core Courses (12 hours)<\/strong>\r\n<ul>\r\n \t<li>MCIS 5103 - Advanced Programming Concepts\r\n<strong>or<\/strong> MCIS 5163 - Python Programming<\/li>\r\n \t<li>MCIS 5133 - Data Base Management Systems<\/li>\r\n \t<li>MCIS 6163 - Computer Networking<\/li>\r\n \t<li>MCIS 6173 - Information and Networking Security<\/li>\r\n<\/ul>\r\n<strong>Data Science Courses (12 hours)<\/strong>\r\n<ul>\r\n \t<li>MCIS 6123 - Decision Science\r\n<strong>or<\/strong> MCIS 6333 - Data Visualization Programming<\/li>\r\n \t<li>MCIS 6263 - Big Data<\/li>\r\n \t<li>MCIS 6273 - Data Mining<\/li>\r\n \t<li>MCIS 6283 - Machine Learning<\/li>\r\n<\/ul>\r\n<strong>Elective Courses (6 hours)<\/strong>\r\n\r\nSelect 6 hours from the following:\r\n<ul>\r\n \t<li>MCIS 5003 - Survey of Information Technology<\/li>\r\n \t<li>MCIS 5013 - The UNIX Operating System<\/li>\r\n \t<li>MCIS 5103 - Advanced Programming Concepts<\/li>\r\n \t<li>MCIS 5113 - Web Programming: Client Side<\/li>\r\n \t<li>MCIS 5163 - Python Programming<\/li>\r\n \t<li>MCIS 5313 - Data Structures and Algorithms<\/li>\r\n \t<li>MCIS 5413 - Web Programming: Server Side<\/li>\r\n \t<li>MCIS 6123 - Decision Science<\/li>\r\n \t<li>MCIS 6133 - User Interface Design<\/li>\r\n \t<li>MCIS 6153 - Software Engineering<\/li>\r\n \t<li>MCIS 6183 - Special Topics<\/li>\r\n \t<li>MCIS 6193 - Special Topics<\/li>\r\n \t<li>MCIS 6203 - Special Topics Seminar<\/li>\r\n \t<li>MCIS 6213 - Applied Cryptography<\/li>\r\n \t<li>MCIS 6223 - Vulnerability Analysis and Risk Assessment<\/li>\r\n \t<li>MCIS 6233 - Traceable Systems and Computer Forensics<\/li>\r\n \t<li>MCIS 6243 - Wireless and Mobile Security<\/li>\r\n \t<li>MCIS 6253 - Privacy Compliant Systems Design<\/li>\r\n \t<li>MCIS 6293 - Special Topics<\/li>\r\n \t<li>MCIS 6313 - Internet of Things<\/li>\r\n \t<li>MCIS 6323 - Cloud Computing<\/li>\r\n \t<li>MCIS 6333 - Data Visualization Programming<\/li>\r\n \t<li>MCIS 6913 - Thesis<\/li>\r\n \t<li>MCIS 6916 - Thesis<\/li>\r\n \t<li>MCIS 6983 - Internship in Computer and Information Science<\/li>\r\n<\/ul>","minor_requirements":"","Admission Requirements or Deadlines":"<ol>\r\n \t<li><strong>Online Application<\/strong>: Submit your <a href=\"https:\/\/apply.saumag.edu\">Graduate Studies Application<\/a>.<\/li>\r\n \t<li><strong>Transcripts<\/strong>: Official transcripts from all post-secondary institutions.<\/li>\r\n \t<li><strong>GPA Requirement<\/strong>: Minimum cumulative undergraduate GPA of 2.5 (Conditional admission may be available for 2.2+).<\/li>\r\n<\/ol>\r\n<h3>Prerequisites:<\/h3>\r\nA Bachelor\u2019s degree in Computer Science or a related field is preferred. Students with degrees in other fields may be required to complete two foundational \"bridge\" courses in programming and concepts.","careers":"Data Science is currently one of the highest-paying and most secure career paths in tech. Graduates are prepared for:\r\n<ul>\r\n \t<li>Data Scientist<\/li>\r\n \t<li>Machine Learning Engineer<\/li>\r\n \t<li>Data Engineer<\/li>\r\n \t<li>AI Solutions Architect<\/li>\r\n \t<li>Quantitative Analyst<\/li>\r\n<\/ul>\r\nMarket Demand: The Bureau of Labor Statistics projects a <strong>35% growth rate<\/strong> for Data Scientists through 2034, far exceeding the national average for all occupations.","faq":[{"faq_question":"Is this program different from the MS in Business Analytics?","faq_answer":"Yes. While the MSBA focuses on the business application of data, the MCIS Data Science option is a technical computer science degree focusing on the underlying algorithms, architecture, and programming of data systems."},{"faq_question":"Is this program STEM-certified?","faq_answer":"Yes. It qualifies for the 24-month STEM OPT extension for international students."},{"faq_question":"Can I complete this degree while working full-time?","faq_answer":"Absolutely. Many of our students are working professionals who utilize our asynchronous online delivery to balance their careers and education."},{"faq_question":"What programming languages are taught?","faq_answer":"The curriculum focuses heavily on Python, R, and SQL, which are industry-standard for data science."}],"Accreditations":"","Testimonials":"","student_information":"","Advisors":"","rankings":"","keywords":"","custom_tab_title":"Degree Plan","custom_tab_text":"<strong>Specific Degree Requirements <\/strong>\r\n\r\nEach candidate for the Master of Science in Computer and Information Science degree must complete a minimum of 30 semester hours of coursework.\r\n\r\n&nbsp;\r\n\r\n<strong>Core courses (12 hours): <\/strong>\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 5103 \u00a0\u00a0\u00a0\u00a0\u00a0 Advanced Programming Concepts\r\n\r\nMCIS\u00a0\u00a0\u00a0\u00a0\u00a0 5133 \u00a0\u00a0\u00a0\u00a0\u00a0 Data Base Management Systems\r\n\r\nMCIS\u00a0\u00a0\u00a0\u00a0\u00a0 6163 \u00a0\u00a0\u00a0\u00a0\u00a0 Computer Networking\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6173 \u00a0\u00a0\u00a0\u00a0\u00a0 Information &amp; Networking Security\r\n\r\n<strong>\u00a0<\/strong>\r\n\r\n<strong>Required Data Science courses (12 hours) <\/strong>\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6123 \u00a0\u00a0\u00a0\u00a0\u00a0 Decision Science\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6263 \u00a0\u00a0\u00a0\u00a0\u00a0 Big Data\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6273\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Data Mining\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6283 \u00a0\u00a0\u00a0\u00a0\u00a0 Machine Learning\r\n\r\n&nbsp;\r\n\r\n<strong>Electives, Select 6 hours from the following: <\/strong>\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 5003 \u00a0\u00a0\u00a0\u00a0\u00a0 Survey of Information Technology\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 5013 \u00a0\u00a0\u00a0\u00a0\u00a0 UNIX Operating System\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 5113 \u00a0\u00a0\u00a0\u00a0\u00a0 Web Programming: Client Side\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 5313 \u00a0\u00a0\u00a0\u00a0\u00a0 Data Structures and Algorithms\r\n\r\nMCIS\u00a0\u00a0\u00a0\u00a0\u00a0 5413 \u00a0\u00a0\u00a0\u00a0\u00a0 Web Programming: Server Side\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6133 \u00a0\u00a0\u00a0\u00a0\u00a0 User Interface Design\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6153\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Software Engineering\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6183 \u00a0\u00a0\u00a0\u00a0\u00a0 Special Topics\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6201-6 \u00a0\u00a0 Special Topics Seminar\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6213 \u00a0\u00a0\u00a0\u00a0\u00a0 Applied Cryptography\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6223 \u00a0\u00a0\u00a0\u00a0\u00a0 Vulnerability and Risk Assessment\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6233 \u00a0\u00a0\u00a0\u00a0\u00a0 Traceable Systems and Computer Forensics\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6243 \u00a0\u00a0\u00a0\u00a0\u00a0 Wireless and Mobile Security\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6253 \u00a0\u00a0\u00a0\u00a0\u00a0 Privacy Compliant Systems Design\r\n\r\nMCIS \u00a0\u00a0\u00a0\u00a0 6983 \u00a0\u00a0\u00a0\u00a0\u00a0 Internship in Computer and Information Science\r\n\r\nMCIS\u00a0\u00a0\u00a0\u00a0\u00a0 6911-6\u00a0\u00a0\u00a0 Thesis","rfi_shortcode":"[gf_embed site=\"1\" id=\"88\" prog=\"MCIS Data Science\" type=\"Graduate\" comments=\"true\" notify_emails=\"mekarim@saumag.edu\"]"},"_links":{"self":[{"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/programs\/11834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/programs"}],"about":[{"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/types\/program"}],"version-history":[{"count":4,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/programs\/11834\/revisions"}],"predecessor-version":[{"id":17866,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/programs\/11834\/revisions\/17866"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/media\/16413"}],"wp:attachment":[{"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/media?parent=11834"}],"wp:term":[{"taxonomy":"college_department","embeddable":true,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/college_department?post=11834"},{"taxonomy":"delivery","embeddable":true,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/delivery?post=11834"},{"taxonomy":"types","embeddable":true,"href":"https:\/\/www.saumag.edu\/academics\/wp-json\/wp\/v2\/types?post=11834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}