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MSU Denver’s Introduction to Business Intelligence course provides a theoretical foundation in business intelligence and data analytics, distinguishing itself from tool-centric offerings. The course explores key concepts such as data visualization, text mining, social network analysis, association rules, and predictive modeling techniques. While practical business applications and management principles are discussed, the emphasis remains on understanding the underlying principles and methodologies that drive business intelligence. Designed with accessibility at the forefront, the business course ensures all students can engage with and apply these data analysis concepts, regardless of their technical background.
Introduction to Business Intelligence is online and self-paced, allowing you to balance your personal life while continuing your education.
Whether you’re looking to learn a new subject or you are looking to refresh your skills as you pivot into a new career in business, noncredit business intelligence courses can be stacked into credit toward an MSU Denver degree or credential. Learn more about converting Career Launchpad courses into credit on our FAQ page.
Data analysis skills are becoming essential across nearly every industry, helping businesses make smarter, faster decisions. Need business intelligence career inspiration? Use our occupational data widget to browse in-demand occupations, employment trends, and salary information, all within your area.
The course can be completed in 4-8 weeks and is self-paced online.
Receive a personal advising session with your instructor to discuss career goals and actionable steps to get there.
Students will receive a digital badge embedded with competencies learned which can be included on a resume, LinkedIn profile, portfolio, or shared with an employer. Students will also receive a certificate of completion showcasing their successful completion of the course.
✓ Increased knowledge, skills, and understanding of the subject matter.
✓ We’re highly satisfied with the overall experience of the course.
✓ Agreed that the subject matter was organized and presented effectively.
After successful completion of the online business intelligence course, students can use their newfound data management skills in the workforce or continue their academic career to increase their earning potential. There are many rewarding and in-demand careers in data analytics and business intelligence. Whether you’re completing a noncredit course or pursuing a bachelor’s degree in business intelligence, learn more about these pathways below and shape your future with MSU Denver.
Pathway 1: Enter the workforce with business intelligence training
Complete the business intelligence online course and enter the workforce with in-demand data management knowledge. Launch your career in data with the core skills needed to become a business intelligence or data analyst. With the growing demand for professionals who can interpret and visualize data, this path offers a strong starting point.
Pathway 2: Continue your academic career in business intelligence
Boost your long-term earning potential and open doors to higher-level data analyst and data-driven leadership roles with a business intelligence degree. With a median salary of $74,680 per year, professionals who pursue a business intelligence degree are well-positioned for management and leadership opportunities in data analysis, data reporting, and strategic planning. MSU Denver’s noncredit business intelligence course can also count toward degree requirements, helping you get ahead faster
The course is $450, with a $35 transaction fee per payment. There are no books to purchase.
Viktor Kiss is a data researcher and educator specializing in business analytics, economic modeling, and complex data systems analysis. Holding a PhD in Business Administration/Economics, his research focuses on modeling complex systems, leveraging advanced statistical and machine learning techniques to analyze economic and business data and dynamics. Kiss has extensive experience teaching business analytics, covering topics such as statistical analysis, data analytics, operations research, and machine learning.
Phone: 303-615-1234
Office Location:
Jordan Student Success Building
3rd Floor – #330
Auraria Campus
Mailing Address:
Metropolitan State University of Denver
Innovative and Lifelong Learning
P.O. Box 173362
Campus Box 6
Denver, CO 80217-3362