500

Students explore the fundamentals of the business analytics process and concepts from a business and managerial perspective. Emphasis includes the influence of data analytics and big data within the organization and its strategic plan, associated analytics techniques, and business applications. Pre-requisite(s): Graduate standing or permission of the Program Chair or designate. Co-requisite(s): None. 3 semester hours

In this course, students learn fundamental statistical methodologies useful in business analytics focused on collecting, analyzing, interpreting, and visualizing data for organizational decision-making. Students will be introduced to the data analysis process and critical tenets of structured thinking for data analytics. This course will focus on statistics for descriptive analytics. Pre-requisite(s): BDA 500. Co-requisite(s): None. 3 semester hours

This course examines security, privacy, and ethical implications in business data analytics. Students address challenges in the data life cycle, from data collection to data analysis. Students explore the associated consequences of misuse of information and equity in representation (data) and review legal and ethical policies in various industries and business settings in an ever-changing environment. Prerequisite(s): BDA 500, BDA 502, RES 510; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

This course introduces students to relational database concepts, data warehousing, data management, the rise of big data, data mining, and modeling tools. Students will be exposed to various applicable systems and data analysis tools, enabling them to effectively manage and apply actionable strategic insight and decisions garnered from data. Pre-requisite(s): BDA 500, BDA 502, and RES 510. Co-requisite(s): None. 3 semester hours

In this case/scenario-based course, students utilize datasets to apply a variety of tools managers need to make decisions and create strategies within an organization or industry.

In this course, students learn the fundamentals of predictive and prescriptive analytics in decision-making. Predictive analytics focuses on the use of data and statistical tools to forecast the likelihood of future outcomes based upon historical data. Prescriptive analytics goes one step further to recommend solutions or new ideas to achieve future goals. Students will explore predictive analytics and descriptive analytics in practice in various contexts and industries.

This course teaches students to utilize industry-relevant data visualization tools, communicate actionable insights, and deliver compelling narratives to organizational or industry stakeholders. Students will utilize real-world data sets applicable to their visualization and communication assignments. Prerequisite(s): BDA500, RES510, and BDA502; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

Students explore business data analytics from a managerial perspective to understand data’s influence on organizational activities by examining real-world cases across relevant topics (e.g., data warehousing, data integration, business intelligence, data mining, and visualization, human resource management) and industries (e.g., health care, banking/finance, marketing/services, and operations). Students learn how data-informed strategies can create a competitive advantage and enhance the return on investment (ROI) in an industry, sector, or organization. Students are introduced to emerging data collection strategies, tools, and techniques currently used to develop actionable insights focused on informing organizational goals and delivering value. Prerequisite(s): BDA500, RES510, BDA502, BDA505, and BDA506; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

Students explore business data analytics from a managerial perspective to understand Big Data’s influence on an organization’s activity in emerging industry sectors such as Health Care, Banking/Finance, and Marketing/Services. Students learn how data-informed strategies to create a competitive advantage and enhance the return on investment (ROI) in an industry, sector, or organization. Students are introduced to emerging data collection strategies, tools, and techniques currently used to develop actionable insights focused on informing organizational goals and delivering value. Prerequisite(s): BDA500, RES510, BDA502, BDA505, BDA506, BDA507, and BDA509; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

This is the final course in the Master of Science in Business Data Analytics (MSBDA) program. Students develop a comprehensive assignment demonstrating mastery of the (MSBDA) program learning outcomes and integrate all facets of business data analytics by applying lessons learned in a real-world project. Prerequisite(s): BDA500, RES510, BDA502, BDA505, BDA506, BDA507, BDA509, BDA510, BDA511, and BDA508; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours