Artificial Intelligence major

Artificial Intelligence: courses, careers, and where to study

Artificial intelligence is the study of building systems that learn, reason, perceive, and make decisions from data, for students who enjoy math, programming, and modeling.

An artificial intelligence major teaches you to design software that can learn from data, draw inferences, understand language, and interpret images or motion. Students dig into the theory behind machine reasoning, then build it in code: training models to recognize patterns, representing knowledge so a system can act on it, processing human language, and giving machines a sense of their surroundings through computer vision and robotics. The work blends mathematics, statistics, and programming with hands-on experimentation, and you spend much of your time measuring how well a model performs, finding where it fails, and weighing the ethical and human-factors questions that come with automated decisions. It sits close to computer science but is narrower and more applied: where computer science covers computing broadly and data science centers on drawing conclusions from data, an AI program focuses specifically on building systems that learn and reason, and it leans more toward research methods than the day-to-day product focus of software engineering.

AI programs are commonly offered as a bachelor's or master's degree, and many students continue to graduate study because research-oriented and model-building roles often draw on advanced coursework. Coursework is project-heavy: lab assignments where you train and tune models, a capstone or research project, and often a thesis at the graduate level, since AI is not a licensed profession in the way some health or engineering fields are. There is no general license to practice AI, though work that touches regulated areas such as healthcare or finance may carry its own legal and compliance requirements that should be verified, and some related engineering tracks may involve programmatic accreditation worth confirming. Graduates work across software and technology firms, research labs, healthcare and finance organizations, manufacturing and robotics, government, and academia, typically as engineers who put models into production or as scientists who develop new methods.

In federal data for the closely related occupation of computer and information research scientists, the U.S. Bureau of Labor Statistics reports a 2024 median wage of $140,910 and projects employment to grow about 19.7% from 2024 to 2034; a master's degree is the typical entry-level education for that occupation. National figures are occupation-wide medians across all experience levels, not starting wages or graduate outcomes.