Business Intelligence Master of Science

Environment
online
Degree Type
Master of Science
Program Length
48 weeks
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Total Credit Hours
36
Overview
Today’s businesses have access to a vast amount of information that can be utilized to improve their products and services, make their companies run more effectively, and transform their models. Business intelligence analysts, data analysts, and BI developers collect and use data to solve real-world business challenges and support informed decision-making. The Business Intelligence Master of Science degree curriculum cultivates the business intelligence, analytics, and artificial intelligence (AI) acumen necessary for data professionals to evaluate operational conditions. Courses in data management, statistical analysis, and business intelligence technologies build core knowledge and skills while emphasizing ethical and privacy tenets. Building on data extraction, transformation, and loading (ETL) knowledge, students gain advanced skills in data modeling, analytics, and decision support, enabling BI professionals to operate at a strategic level. To refine their critical thinking and communication skills, students navigate real-world business challenges through lessons in data visualization, creative reporting, and leadership development. Students acquire practical skills in creating interactive dashboards, and each course progresses students’ academic research skills and methodologies. A comprehensive capstone project is finalized and delivered in the last month of the degree.
Objective
Master's Objective  The objective of the Business Intelligence Master of Science degree program is to prepare students to collect, manage, prepare, analyze, interpret, and transform information into insightful stories for the improvement of specific business processes and to inform business leaders' decisions. Students will gain the knowledge, skills, and abilities necessary to effectively utilize data and AI insights for the improvement of business results. Through project-based learning activities and guided academic research applications, students will acquire a deep and agile proficiency with the appropriate tools and technologies used in data management, analysis, visualization, and communication.

Please Note

  • This program is approved for campus and online; currently only enrolling online.