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COLORADO STATE UNIVERSITY-GLOBAL CAMPUS - 100% Online Accredited Degrees
 

Degree Specialization inBUSINESS INTELLIGENCE

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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 focuses on the latest techniques for collecting and analyzing statistical information, spotting trends, making projections, and helping to drive strategic plans to guide your organization to future success. This is an excellent choice if you’re interested in a career as an analyst, data warehouse developer, business consultant, or in any other career that works with statistical information.

This program consists of four graduate online business intelligence courses for a total of 12 credit hours.

  • MIS500: Foundations of Data Analytics

    This course introduces students to the methodologies, techniques, and tools most commonly used in data analytics. These foundational methods are from the fields of statistics, operations research, and information systems. Topics include techniques and tools for visualization, inference, forecasting, optimization, simulation, and data mining. The emphasis is on exposing the student to the techniques and software tools that are used in the industry and will be used in the rest of the program.

  • MIS510: Data Mining and Visualization

    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

  • MIS530: Predictive Analytics

    This course covers the fundamental predictive analytics and data mining approaches applied in business. It introduces basic concepts and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models.

  • MIS542: Business Analytics

    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.

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