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AI Pathways for Every Discipline and Profession

Artificial intelligence is changing how people research, design, communicate, analyze evidence, make decisions, and create value. Lindenwood糖心vlog视频檚 College of Arts and Humanities now offers a number of AI programs including the Applied AI, BA, a Human-Centered AI certificate and minor, and the Master of Arts in Human-Centered Artificial Intelligence. Together, these flexible pathways combine practical AI fluency with ethics, communication, human-centered design, and experiential learning, allowing students to pursue a full bachelor糖心vlog视频檚 degree, add an AI credential to another major, or develop advanced expertise through graduate study.

The programs emphasize real-world application over a single technical profile. Learners build the capacity to evaluate tools and outputs, recognize limitations and bias, protect sensitive information, communicate decisions, design human-in-the-loop workflows, and apply emerging technologies within the standards of a chosen field.

AI Programs

Applied AI, BA

Undergraduate Degree

A flexible bachelor糖心vlog视频檚 degree that develops transferable AI fluency across professional contexts. Students may follow the general program or select an emphasis in Ethical Decision-Making, Social Innovation, or Strategic Communication. Program Details

Human-Centered AI Certificate

Undergraduate Certificate

A focused, twelve-credit undergraduate certificate for degree- and non-degree-seeking learners who want practical AI capability in an accessible online format. Program Details

Human-Centered AI Minor

Undergraduate Minor

An eighteen-credit minor for degree-seeking students who want to connect AI applications, ethics, and experiential learning with another major. Program Details

Human-Centered Artificial Intelligence, MA

Graduate Degree

A thirty-credit graduate program designed for professionals and students from varied backgrounds, with thesis and applied-project completion pathways. Program Details

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Lindenwood糖心vlog视频檚 leadership in AI goes back to 1977, when university research started paving the way for future AI development, addressing the complexities of simulating human-like behaviors in machines.