Baker College

What you'll study

The curriculum mixes applied AI modules with traditional MBA electives. Core areas covered include AI-driven analytics, automation and productivity; strategic implementation and organizational transformation; responsible and ethical AI use; and business fundamentals such as marketing strategy, communications, finance, economics, accounting and management.

• AI Foundations and Responsible Use (BUS 7210) — hands-on introduction to AI tools, with practice in writing, summarization, visual design and multimedia generation while developing habits for accuracy, bias awareness and data security. (3 credits)
• AI for Data Analytics (BUS 7220) — applied use of AI to analyze data, create visualizations and prepare executive-ready charts, dashboards, reports and presentations to support decision making. (3 credits)
• AI Strategy and Organizational Transformation (BUS 7240) — practice-oriented course on designing AI strategies, integrating AI agents into workflows, creating governance structures and building implementation roadmaps. (3 credits)

Entry requirements

The course page does not list detailed admissions criteria. Prospective applicants should consult Baker College graduate admissions for program prerequisites, application materials and any work- or degree-based requirements.

Career prospects

Graduates are prepared for roles that bridge business leadership and AI application, including AI strategy, digital transformation, business analytics and positions focused on innovation and management where data-informed decision-making and automation are priorities.

Scholarships & funding angle

The program page does not provide specific scholarship details. Applicants should review Baker College financial aid resources and graduate funding options, and explore employer tuition assistance or external scholarships for graduate business and technology study.