• On-Campus Component
    No
  • Cost
    $21,564.00
  • Total Credits
    12
  • Credential
    Graduate Certificate
  • Admission GPA
    N/A
  • Application Deadlines
    Spring (January start): October 15, November 15, December 15; Fall (September start): May 15, June 15, July 15
  • Campus
    Twin Cities
  • College
    Carlson School of Management
  • Department
    Information and Decision Sciences

This fully online, graduate-level certificate is built on Carlson’s nationally recognized strengths in business analytics and decision sciences. Students develop a strong foundation in statistics, programming and data analytics, then apply those skills through coursework focused on generative AI, predictive analytics and responsible AI practices. Throughout the program, emphasis is placed on translating analytical insights into clear, actionable business decisions.

Designed for working professionals, the program offers flexibility without sacrificing rigor. Coursework is practical, ethically grounded and relevant across industries such as technology, finance, healthcare, retail and consulting. Graduates leave prepared to collaborate with technical teams, guide AI adoption and lead AI-driven initiatives that create measurable business value.

This program is accredited by the Association to Advance Collegiate Schools of Business (AACSB).

Courses

Earn at least 8 credits from the following:

  • MABA6121 - Practical Statistics for Business Applications (2 cr)
  • MABA6155 - Generative AI for Business Applications (2 cr)
  • MABA6251 -AI for Competitive Advantage (2 cr)
  • MABA6311 - Programming for Business Analytics (2 cr)

 

Elective Courses

Earn at least 4 credits from the following:

  • MABA6345 -Responsible AI (2 cr)
  • MABA6411 - Exploratory Data Analytics (2 cr)
  • MABA6421 - Predictive Analytics (2 cr)

 

Career Outlook

This degree prepares students for emerging AI-focused roles across sectors, including:

  • Technology and Software – AI product development, data platforms and analytics tools.
  • Finance and Insurance – Risk modeling, fraud detection and algorithmic trading.
  • Healthcare – Predictive analytics, operational optimization and AI-driven diagnostics.
  • Retail and E-commerce – Customer segmentation, recommendation engines and inventory forecasting.
  • Consulting and Professional Services – AI strategy, digital transformation and business intelligence.