Business Intelligence and Analytics Degree Specialization
As data floods the workplace, defining businesses and determining success, there's an increasing demand for prepared individuals with the right business intelligence management skills who can make effective use of analytic tools and manage, oversee and evaluate business intelligence. In fact, job openings in specialized technology, which include business intelligence analysis, are expected to grow by 30% between 2008 and 2018.1 With a Business Intelligence and Analytics management degree specialization, you'll be prepared to succeed in growing careers related to data management, strategy, analysis, development and administration.
Learn more about DeVry's Business Intelligence and Analytics Management degree specialization online.
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When you specialize your business degree in Business Intelligence and Analytics Management, your coursework may include these career-enhancing courses:
Managerial Applications of Business Analytics
Applied Business Analytics
Database Concepts in Business Intelligence
Introduction to Internet Analytics
This course examines major themes of business intelligence and business analytics. Through case studies, students explore how analytics impact organizational management in today's data-rich environment.
This course examines use of optimized modeling techniques, including break-even analysis, optimization modeling, sensitivity analysis, linear programming, network models, regression, time series analysis, decision-making under uncertainty and simulation models.
This course explores designing, developing, implementing and using a database to derive business intelligence solutions. Topics include roles, responsibilities, object relational impedance mismatch, data warehousing, online analytical processing and implementation of data mining tools.
This course focuses on analyzing and interpreting data to support decision-making for planning and performance assessment. Students are introduced to data sources such as web logs, big data, social data, common key performance indicators and Internet analytics tools.
This course introduces operations management and examines the products-to-services spectrum in terms of various transformation processes. In addition, the course considers how operations strategy relates to other organization functions and focuses on all strategic areas of analytic decision-making.
This course provides students with a working knowledge of numerical models used as decision-making tools in operations practice.
This course introduces tasks and techniques used to systematically understand the structure, operations, processes and purposes of an organization. Approaches to needs assessment, data collection, elicitation, analysis and synthesis are covered.