University of Minnesota Online Carlson School of Management 7 courses 12 total credits
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.
| Total Credits | 12 credits |
Courses
Earn at least 8 credits from the following: Elective Courses
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs — written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.