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Pfeiffer University · Courses

MBAA

4 courses with the subject MBAA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

MBAA 700Generative AI for Managers 3 SH

Generative AI (GAI) is ushering in a new age of productivity in business, and managers who ineffectively adopt it risk being outpaced by forward-thinking competitors. This course equips students to drive impact in any industry using GAI tools. You’ll learn to engineer effective prompts, integrate AI into workflows, and develop innovative GAI solutions, as well as explore ethical considerations and future trends.

Subject
MBAA
Type
course
Edition
2026-2027
Source
www.pfeiffer.edu
MBAA 702Business Case Uses for AI 3 SH

Just like you wouldn’t use a financial model to drive a marketing campaign, different business use cases require different AI tools. In this course, students will explore the potential and limitations of AI technologies, learning to identify business problems suitable for AI solutions and build effective AI implementation strategies. By the end of this course, students will address key challenges and solutions in AI implementation.

Subject
MBAA
Type
course
Edition
2026-2027
Source
www.pfeiffer.edu
MBAA 704AI Governance and Ethics 3 SH

Alongside powerful data-driven solutions, AI opens a Pandora's box of ethical issues: data privacy, bias, transparency, and balancing automation with human oversight. AI governance may be the biggest ethical issue of our time, something essential for any manager to understand before implementing this new technology. Students will develop AI policies for ethics and compliance, mitigate AI-related risks, and communicate governance standards to stakeholders.

Subject
MBAA
Type
course
Edition
2026-2027
Source
www.pfeiffer.edu
MBAA 706Managing AI Projects 3 SH

AI projects can help predict trends and optimize operations, allowing businesses to understand not just what has happened but what will happen—and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impact by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.

Subject
MBAA
Type
course
Edition
2026-2027
Source
www.pfeiffer.edu

Source: Pfeiffer University's catalog, linked per course · table learning_unit · CourseShelf publish 61