Put your sharp, analytical mind to work by adding data-based decision making to your set of marketable business skills.
Add statistics and logical thinking to your existing business skill set by learning how to collect solid data and interpret it accurately. Find out how to evaluate your organization’s needs and provide solutions based on real-world information.
CSU-Global’s masters specialization or graduate certificate in business intelligence prepares students to be organizational leaders by using business intelligence and business analytics. Students learn to convert data into information that organizations can use to meet strategic objectives. Students demonstrate the tools and techniques used for collecting, analyzing, transforming, and visualizing data into functional business knowledge for informed decision-making in an enterprise organization. Students focus on providing knowledge that allows enterprises to improve performance and remain competitive. Students interested in this specialization should have experience or recent course work in programming, statistics, and databases.
This program consists of four graduate online business intelligence courses for a total of 12 credit hours.
This course provides students with an overview of Business Intelligence (BI) for an enterprise, establishing the foundation for using data in cross-functional key areas, such as accounting, sales, production, customer data, and other elements, to assist with generating actionable intelligence data for decision making in order to achieve or maintain competitive advantage in the workplace and evaluate how well corporate key performance indicators are being met.
This course will provide the basic framework for conducting various data and text mining methodologies, including logistic regression analyses, classical discriminant analyses, association rule, decision tree, support vector machine, neural networks, variable reduction, cluster analysis, text analytics, and web mining. In addition, this course teaches the essential and practical skills in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concepts, pattern analysis, and computational methods. Recommended Prior Course: MIS500
This course provides an overview of the tools and techniques for analyzing business data in order to develop comprehensive and functional solutions. Topics include forecasting, simulation, and data modeling for complex problem analysis in medium to large organizations.
This course provides an in-depth understanding of how business intelligence aligns with the realization of organizational strategy. Topics include key performance indicators, organizational goals, and the role of effective management in meeting enterprise objectives.
Add an area of focus to your degree that can help you stand out to future employers.