{"id":8776,"date":"2025-11-20T11:50:07","date_gmt":"2025-11-20T19:50:07","guid":{"rendered":"https:\/\/www.callutheran.edu\/programs\/?page_id=8776"},"modified":"2026-01-13T07:52:42","modified_gmt":"2026-01-13T15:52:42","slug":"data-analytics","status":"publish","type":"page","link":"https:\/\/www.callutheran.edu\/programs\/graduate\/msit\/data-analytics\/","title":{"rendered":"Data Analytics Track"},"content":{"rendered":"<div class=\"row\">\n<div class=\"col-lg-7 mb-4 mb-lg-5\">\n<div class=\"quick-facts bg-purple-alt txt-white d-inline-flex flex-column p-4 p-lg-5\">\n<div class=\"anchor-link\" id=\"quick-facts\"><\/div>\n<p class=\"h3 fw-bold mb-4 txt-offwhite\">Quick Facts<\/p>\n<div class=\"d-flex flex-row mb-3\">\n<div class=\"icon d-flex justify-content-center align-items-center\">\n<img decoding=\"async\" src=\"https:\/\/callutheran.allcampus.com\/wp-content\/themes\/callutheran\/images\/icons\/quick-facts-graduation-cap.svg\" alt=\"graduation cap\">\n<\/div>\n<div class=\"text d-flex align-items-center ms-4\">\n<p class=\"p-0 m-0\"><strong>Total Courses Required:<\/strong> 12 courses total (36 credits)<\/p>\n<\/div>\n<\/div>\n<div class=\"d-flex flex-row mb-3\">\n<div class=\"icon d-flex justify-content-center align-items-center\">\n<img decoding=\"async\" class=\"\" src=\"https:\/\/callutheran.allcampus.com\/wp-content\/themes\/callutheran\/images\/icons\/quick-facts-diploma.svg\" alt=\"diploma\">\n<\/div>\n<div class=\"text d-flex align-items-center ms-4\">\n<p class=\"p-0 m-0\"><strong>Core Requirements:<\/strong> 8 courses in IT foundations and leadership<\/p>\n<\/div>\n<\/div>\n<div class=\"d-flex flex-row mb-3\">\n<div class=\"icon d-flex justify-content-center align-items-center\">\n<img decoding=\"async\" class=\"\" src=\"https:\/\/callutheran.allcampus.com\/wp-content\/themes\/callutheran\/images\/icons\/quick-facts-check.svg\" alt=\"check\">\n<\/div>\n<div class=\"text d-flex align-items-center ms-4\">\n<p class=\"p-0 m-0\"><strong>Data Analytics Courses:<\/strong> 4 electives in areas like data warehousing, big data technologies and business intelligence<\/p>\n<\/div>\n<\/div>\n<div class=\"d-flex flex-row mb-3\">\n<div class=\"icon d-flex justify-content-center align-items-center\">\n<img decoding=\"async\" class=\"\" src=\"https:\/\/callutheran.allcampus.com\/wp-content\/themes\/callutheran\/images\/icons\/quick-facts-laptop.svg\" alt=\"laptop\">\n<\/div>\n<div class=\"text d-flex align-items-center ms-4\">\n<p class=\"p-0 m-0\"><strong>Capstone:<\/strong> Internship or IT project for hands-on experience<\/p>\n<\/div>\n<\/div>\n<div class=\"d-flex flex-row mb-3\">\n<div class=\"icon d-flex justify-content-center align-items-center\">\n<img decoding=\"async\" class=\"\" src=\"https:\/\/callutheran.allcampus.com\/wp-content\/themes\/callutheran\/images\/icons\/quick-facts-calendar.svg\" alt=\"calendar\">\n<\/div>\n<div class=\"text d-flex align-items-center ms-4\">\n<p class=\"p-0 m-0\"><strong>Timeline:<\/strong> Typically completed in 12 to 24 months with evening classes for working professionals<\/p>\n<\/div>\n<\/div>\n<p><small><strong>Note:<\/strong> While general MSIT courses are available online, data analytics track courses must be taken at our Thousand Oaks campus. <\/small><\/p>\n<\/div>\n<\/div>\n<div class=\"col-lg-5 mb-4 mb-lg-5\">\n<div class=\"table-of-contents bg-offwhite d-inline-flex flex-column p-4\">\n<div class=\"\">\n<p class=\"h4 fw-bold mb-4\">On this page:<\/p>\n<ul>\n<li><a href=\"#quick-facts\" class=\"scroll-to\">Quick Facts<\/a><\/li>\n<li><a href=\"#who-is-the-data-analytics-track-for\" class=\"scroll-to\">Who Is the Data Analytics Track For?<\/a><\/li>\n<li><a href=\"#data-analytics-track-curriculum\" class=\"scroll-to\">Data Analytics Track Curriculum <\/a><\/li>\n<li><a href=\"#careers-in-data-analytics\" class=\"scroll-to\">Careers in Data Analytics<\/a><\/li>\n<li><a href=\"#data-analytics-track-faqs\" class=\"scroll-to\">Data Analytics Track FAQs<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>Sharpen the skills to find patterns others miss and show why they matter. California Lutheran University\u2019s MSIT data analytics track offers hands-on courses that integrate visualization, big data technologies and business intelligence tools.<\/p>\n<hr class=\"gray-hr\">\n<div class=\"anchor-link\" id=\"who-is-the-data-analytics-track-for\"><\/div>\n<h2>Who Is the Data Analytics Track For?<\/h2>\n<p>This track is for professionals who want to turn data into direction.<\/p>\n<p>It\u2019s a strong fit if you\u2019re:<\/p>\n<ul>\n<li>A business or IT professional who enjoys working with data and problem-solving<\/li>\n<li>A systems analyst or developer looking to expand into analytics and visualization<\/li>\n<li>A career changer eager to learn tools like R, Python, or BI software to make data actionable<\/li>\n<li>A curious thinker who wants to shape decisions with facts, not guesswork<\/li>\n<\/ul>\n<hr class=\"gray-hr\">\n<div class=\"anchor-link\" id=\"data-analytics-track-curriculum\"><\/div>\n<h2>Data Analytics Track Curriculum<\/h2>\n<div id=\"accordion-section-tracks\" class=\"accordion accordion-flush custom-accordion faq-accordion\">\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-track-1\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-track-1\" aria-expanded=\"false\" aria-controls=\"accordion-content-track-1\">\nPrinciples of Data Analytics\n<\/button>\n<\/h3>\n<div id=\"accordion-content-track-1\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-track-1\" data-bs-parent=\"#accordion-section-track\">\n<div class=\"accordion-body\">\n<p>This course provides an introduction to the field of business analytics, which is defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models and fact-based management to drive decisions and actions. Topics include implementation of successful analytics platforms, big and little data, predictive analytics, social media analytics, mobile analytics and data visualization. Students use industry standard tools in practical projects.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-track-2\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-track-2\" aria-expanded=\"false\" aria-controls=\"accordion-content-track-2\">\nBig Data Technologies\n<\/button>\n<\/h3>\n<div id=\"accordion-content-track-2\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-track-2\" data-bs-parent=\"#accordion-section-track\">\n<div class=\"accordion-body\">\n<p>More and more, organizations are collecting large amounts of data, much of it unstructured. Big Data technologies can be used to store, process and analyze large amounts of data using a distributed environment. This course introduces students to the world of big data and associated technologies. The focus of the course is Apache Hadoop, which is an open-source software project that enables distributed processing of large data sets across clusters of commodity servers. The objective of this course is to provide students a foundation for understanding big data technologies and Hadoop in particular.<\/p>\n<p>Topics include Hadoop system architecture, Hadoop Distributed File System (HDFS), MapReduce programming model and design patterns and technologies surrounding Hadoop ecosystem such as Pig, Hive and Oozie. The course will also introduce big data science concepts and NoSQL database technologies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-track-3\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-track-3\" aria-expanded=\"false\" aria-controls=\"accordion-content-track-3\">\nIT Strategy and Business Value\n<\/button>\n<\/h3>\n<div id=\"accordion-content-track-3\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-track-3\" data-bs-parent=\"#accordion-section-track\">\n<div class=\"accordion-body\">\n<p>This course explores strategic information technology management issues associated with doing business in digital times. It provides a framework to understand how information technology strategy aligns with business strategy and focuses on developing an understanding of the key information requirements for developing information technology strategy and systems architecture. Students are encouraged to think and behave strategically with respect to exploiting leading-edge technologies and deliver the right business value with information technology. The course will focus on digital technology trends transforming how business is done, information management and architecture, e-business models and strategies, mobile commerce, social networking, engagement and social metrics and business process innovation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-track-4\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-track-4\" aria-expanded=\"false\" aria-controls=\"accordion-content-track-4\">\nData Warehousing and Business Intelligence\n<\/button>\n<\/h3>\n<div id=\"accordion-content-track-4\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-track-4\" data-bs-parent=\"#accordion-section-track\">\n<div class=\"accordion-body\">\n<p>This course introduces the principles and procedures related to the design and management of data warehouse (DW) and business intelligence (BI) systems. The DW is the central data repository that is used for decision-support. BI refers to the analytical applications that users can interact with in making sense of the data. The course focuses on the data warehousing process including requirement collection, data warehouse architectures, dimensional modeling, extracting, transforming and loading strategies and creation of data marts. The course also uses data warehousing as a platform for BI applications, such as reporting, dashboards and online analytical processing (OLAP). By completing this course, students should understand the technologies used for decision-support and possess valuable analytical skills.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-track-5\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-track-5\" aria-expanded=\"false\" aria-controls=\"accordion-content-track-5\">\nBig Data Technologies\n<\/button>\n<\/h3>\n<div id=\"accordion-content-track-5\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-track-5\" data-bs-parent=\"#accordion-section-track\">\n<div class=\"accordion-body\">\n<p>More and more organizations are collecting large amounts of data, much of it unstructured. Big data technologies can be used to store, process and analyze large amounts of data using a distributed environment. This course introduces students to the world of big data and associated technologies. The focus of the course is Apache Hadoop, which is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. The objective of this course is to provide students a foundation for understanding big data technologies and Hadoop in particular. Topics include Hadoop system architecture, Hadoop Distributed File System (HDFS), MapReduce programming model and design patterns and technologies surrounding Hadoop ecosystem such as Pig, Hive and Oozie. The course will also introduce big data science concepts and NoSQL database technologies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 class=\"txt-bold mt-5\">Special Topic Courses <\/h3>\n<p>Special topics courses vary and are used to introduce students to new topics in the Information Technology field.<\/p>\n<div id=\"accordion-section-special\" class=\"accordion accordion-flush custom-accordion faq-accordion\">\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-special-1\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-special-1\" aria-expanded=\"false\" aria-controls=\"accordion-content-special-1\">\nInternship\n<\/button>\n<\/h3>\n<div id=\"accordion-content-special-1\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-special-1\" data-bs-parent=\"#accordion-section-special\">\n<div class=\"accordion-body\">\n<p>Internships are a valuable experiential learning tool where students engage in work with an organization on an approved topic. Students will write a comprehensive report based on their learning experience along with weekly logs and a managerial evaluation. The report will be evaluated and graded by the instructor.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-special-2\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-special-2\" aria-expanded=\"false\" aria-controls=\"accordion-content-special-2\">\nIT Project\n<\/button>\n<\/h3>\n<div id=\"accordion-content-special-2\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-special-2\" data-bs-parent=\"#accordion-section-special\">\n<div class=\"accordion-body\">\n<p>Students will work on proposing, developing and implementing a comprehensive project based on concepts learned during their program. A project is a form of research aimed at creating or contributing new knowledge in a discipline or, an applied study that combines a specific topic with actual problems or issues within a setting.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr class=\"gray-hr\">\n<div class=\"anchor-link\" id=\"careers-in-data-analytics\"><\/div>\n<h2>Careers in Data Analytics<\/h2>\n<p>According to <a href=\"https:\/\/www.bls.gov\/ooh\/math\/data-scientists.htm\" target=\"_blank\">the U.S. Bureau of Labor Statistics<\/a>, <strong>demand for data scientists and analysts is projected to grow 34% through 2034<\/strong>, far faster than the average for all occupations. <\/p>\n<p>This demand is being driven by organizations across every industry that need professionals who can manage, interpret and act on data. <\/p>\n<p>Here\u2019s a closer look at the job titles, salaries and growth potential that this track can lead to:<\/p>\n<p><!-- lightcast widget --><\/p>\n<div class=\"lightcast-widget msit mt-5 mb-4\">\n[lightcast_widget]\n<\/div>\n<hr class=\"gray-hr\">\n<div class=\"anchor-link\" id=\"data-analytics-track-faqs\"><\/div>\n<h2>Data Analytics Track FAQs<\/h2>\n<div id=\"accordion-section-faq\" class=\"accordion accordion-flush custom-accordion faq-accordion\">\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-1\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-1\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-1\">\nHow is the data analytics track different from a master\u2019s in data analytics?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-1\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-1\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>A master\u2019s in data analytics is a more narrow view into the statistics, modeling and machine learning from start to finish.<\/p>\n<p>The data analytics track in <a href=\"\/programs\/graduate\/msit\/\">Cal Lutheran\u2019s MSIT program<\/a> gives you that same analytical depth but connects it to <a href=\"https:\/\/www.callutheran.edu\/programs\/articles\/using-data-business-decisions\/\" target=\"_blank\">the systems and strategies that drive business decisions<\/a>. You\u2019ll learn to manage the data, the technology and the teams that bring insights to life. It\u2019s part problem-solving, part storytelling, and part technical craft, anchored in the broader world of IT leadership.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-2\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-2\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-2\">\nWhy choose the data analytics track in the MSIT program instead of a standalone data analytics degree?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-2\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-2\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>Because analysis matters when it leads to action. This track teaches you how to uncover insights and move organizations forward with them. You\u2019ll sharpen your technical fluency in data tools while building the leadership and communication skills to turn numbers into strategy. It\u2019s designed for people who want to analyze the story in the data and help write what happens next.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-3\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-3\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-3\">\nHow long does it take to complete the MSIT in data analytics?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-3\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-3\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>Most students finish the MSIT with a data analytics specialization in 12 to 24 months. You\u2019ll complete eight core courses, four data analytics electives and an optional capstone project or internship.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-4\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-4\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-4\">\nCan I complete the data analytics track part time?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-4\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-4\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>Yes. Many students take one or two evening classes per term while working full time. The data analytics track courses are on campus, but they are offered in the evening, so you can build expertise in data analytics without putting your career (or life) on hold.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-5\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-5\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-5\">\nDo I need a background in data analytics to succeed?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-5\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-5\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>No. While experience can be a benefit, Cal Lutheran students come from a range of backgrounds. You\u2019ll build a foundation in analytics, R programming, Python and visualization tools as part of the curriculum.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"accordion-item\">\n<h3 id=\"accordion-header-faq-6\" class=\"accordion-header\">\n<button class=\"accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#accordion-content-faq-6\" aria-expanded=\"false\" aria-controls=\"accordion-content-faq-6\">\nWill I get hands-on experience in data analytics?\n<\/button>\n<\/h3>\n<div id=\"accordion-content-faq-6\" class=\"accordion-collapse collapse\" aria-labelledby=\"accordion-header-faq-6\" data-bs-parent=\"#accordion-section-faq\">\n<div class=\"accordion-body\">\n<p>Yes. You\u2019ll work directly with large, real-world datasets using tools like Hadoop and BI dashboards. On top of that, you\u2019ll complete either an internship or an IT project, so you graduate with experience you can talk about and demonstrate in interviews.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr class=\"gray-hr\">\n","protected":false},"excerpt":{"rendered":"<p><a href=\"https:\/\/www.callutheran.edu\/programs\/graduate\/msit\/data-analytics\/\" class=\"btn btn-purple read-more article-read-more\" aria-label=\"Read more about this article: Data Analytics Track \">Read more<\/a><\/p>\n","protected":false},"author":8,"featured_media":0,"parent":2334,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-8776","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Analytics Track - MSIT | Cal Lutheran<\/title>\n<meta name=\"description\" content=\"Turn data into decisions with Cal Lutheran\u2019s MSIT Data Analytics track. 12 courses, hands-on capstone, and skills for high-demand analytics careers.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.callutheran.edu\/programs\/graduate\/msit\/data-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Analytics Track - 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