Business Intelligence and Analytics

Master of Science in Business Intelligence and Analytics

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Home / Degrees / Business / Business Intelligence and Analytics

At a Glance

2-Year

Program

Online or On Campus

36

Credit Hours

12

Courses

Business Intelligence and Analytics — Master of Science Program

Master of Science in Business Intelligence and Analytics

Want to help your organization make the most strategic decisions possible? A Master of Science in Business Intelligence and Analytics could help you build the skills used to help companies identify opportunities to improve processes, operations, customer service, and more.

Your program explores what it takes to use data to help businesses grow through more-informed and strategic decision-making processes. It covers how to collect and clean data, filter it, and use the knowledge gleaned to improve operations, assess challenges, and explore options. Coursework also provides a framework for developing a solid business intelligence and analytics background. During your studies, you will have the opportunity to develop, build, and refine a foundation of skills for:

  • Assessing an organization’s business intelligence and analytics capabilities
  • Devising business intelligence and analytics process requirements
  • Organizing teams and responsibilities regarding business intelligence and analytics
  • Correlating business processes related to analytics and business intelligence
  • And more!

At a Glance

2-Year

Program

Online or On Campus

36

Credit Hours

12

Courses

Micro-Credential
Opportunties

Post embeds micro-credentialing opportunities in programs to help build personal or professional skills to highlight on a resume or online profile.

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Term 5 Begins
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“Data science is like a vast, ever-growing ocean – exciting for those who love exploration! Whether your passion is discovering hidden patterns, creating powerful algorithms, or predicting patterns, our DS program provides you with the opportunity to develop the tools you need to navigate. Immerse yourself in real-world projects from the start, with coursework covering analytical thinking and technical skills.”

– Franklin Orellana

Data Science Program Chair

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