Computing & Engineering

Artificial Intelligence major, explained.

Build and question systems that learn, predict, generate, and decide.

Artificial Intelligence explores how data, algorithms, machine learning, language, perception, robotics, human factors, and ethics shape intelligent systems. Students commonly study Machine learning, Data structures, Probability and statistics, Language and perception, and AI ethics and safety. Programs vary by college, but the field generally combines foundational ideas with applied work so students can investigate meaningful questions, make informed decisions, and communicate what they discover.

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You might enjoy this if

Notice what feels familiar.

You are curious how machines can recognize patterns or generate new outputs.

You enjoy mathematics, programming, experimentation, and unresolved questions.

You care about both what a system can do and what it should be allowed to do.

The study experience

What the work may feel like.

Programs differ by college. These labels describe common areas of emphasis, not a score or universal rating.

Reading Frequent
Writing Frequent
Quantitative work Central
Labs or hands-on work Frequent
Design and making Frequent
People and collaboration Frequent
Questions you may keep asking

What is the system learning from and what might the data leave out?

How should performance, transparency, safety, and human control be balanced?

What happens when the model is confident but wrong?

Machine learningData structuresProbability and statisticsLanguage and perceptionAI ethics and safety

What can you do with this major?

One major. More than one direction.

These are example connections, not guaranteed outcomes. Many careers welcome more than one major, and some require additional education or licensure.

Machine Learning Engineer

Builds and deploys systems that learn patterns from data to support products or decisions.

AI Product Engineer

Connects models, software, user needs, and safeguards within a working product experience.

Responsible AI Analyst

Evaluates model risks, documentation, fairness, governance, and human oversight.

Applied AI Researcher

Tests new methods for learning, reasoning, perception, generation, or human interaction.

Artificial Intelligence can support several career directions, and employers may welcome graduates from related fields. Practical experience, internships, projects, and additional credentials can matter alongside the degree.

Try it before college

Projects that make Artificial Intelligence more real.

Reading helps you understand a field. A Compass project helps you discover whether you enjoy doing the work.

Each project includes a step-by-step plan, custom AI prompts, reflection guidance, and a finished creation for the student’s portfolio. See how Compass works
Compass project 30–56 hours

Run an AI Model Bake-Off

Put competing AI systems through the same real tasks and discover why “best” depends on what you measure.

You will create
comparative AI benchmark and recommendation
Build this with Compass
Compass project 18–40 hours

Catch AI Hallucinating

Test AI answers, find mistakes, and create a guide for using AI responsibly.

You will create
AI Reliability Case Study
Build this with Compass
Compass project 30–56 hours

Teach an AI When to Call a Human

Design an AI system smart enough to recognize when the safest answer is to stop and ask a person.

You will create
human-in-the-loop AI workflow prototype
Build this with Compass

Keep exploring

Related majors worth comparing.

Sources and important context

Compass presents a curated collection of 100 widely studied and commonly searched undergraduate majors. The collection is not a statistical ranking. Major names and CIP connections follow common US college usage and the NCES Classification of Instructional Programs. Study patterns are editorial summaries of common program structures and vary by college. Career directions are examples, not guaranteed outcomes. Students should compare actual curricula, admission rules, accreditation, and licensing requirements at colleges they are considering.

NCES CIP codes: 11.0102

  • NCES Classification of Instructional ProgramsNational Center for Education Statistics. Official US taxonomy for fields of study and instructional programs.
  • Field of DegreeUS Bureau of Labor Statistics. Federal career exploration resources organized around broad college fields.
  • O*NET OnLineUS Department of Labor. Detailed descriptions of occupations, tasks, knowledge, skills, and work activities.
Turn this interest into something real.

Compass gives students the project and the plan.

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