BDA Business Data Analytics

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. Prerequisite(s): BDA500 and RES510; or permission of Program Chair or designate. 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, equity in representation (data), and review legal and ethical policies in various industries and business settings in an ever-changing environment. Prerequisite(s): BDA500, RES510, and BDA502; 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. Prerequisite(s): BDA500, RES510, and BDA502; or permission of Program Chair or designate. 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 based on actual data within an organization or industry. Prerequisite(s): BDA500, RES510, and BDA502; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

This course augments the Statistics for Business Data Analytics (BDA502). Students learn the fundamentals of predictive and prescriptive analytics in decision-making. Students explore predictive analytics and forecasting in practice in various contexts and industries. Prerequisite(s): BDA500, RES510, BDA502, BDA505, BDA506, BDA507, BDA509, BDA510, and BDA511; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

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 an organization’s activities related to business intelligence decision-making, human resource management, and operations analytics by examining real-world cases. Topics will include data warehousing, data integration, business intelligence, data mining, and visualization to convey results and strategies to various audiences. Students will learn about using business data analytics to predict and model outcomes to optimize an organization’s value chain across functional areas during uncertainty in an ever-changing global environment. Prerequisite(s): BDA500, RES510, BDA502, BDA505, BDA506, BDA507, and BDA509; 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