What it is
Artificial intelligence is the study of building systems that learn, reason, and act — machine learning, neural networks, natural language, and computer vision. It's one of the fastest-moving and most consequential areas of computing, transforming nearly every industry.
What you'll study
AI is math- and computing-intensive:
- Year 1–2Programming, calculus, linear algebra, probability
- Year 2–3Algorithms, machine learning, and data structures
- Year 3–4Deep learning, and specialties like NLP, computer vision, or reinforcement learning
- CapstoneAn AI/ML project or research
Concentrations & focus areas
- Machine LearningCore ML methods
- Deep LearningNeural networks
- Natural Language ProcessingLanguage AI
- Computer VisionImage & video AI
- Reinforcement LearningDecision systems
- AI Ethics & SafetyResponsible AI
Skills you'll build
- Machine-learning modelingDesigning & training models
- MathLinear algebra, probability, calculus
- ProgrammingPython and ML frameworks
- Data handlingPreparing data for models
- Research skillsReading and applying new methods
Careers & job titles
- Machine-learning engineerBuilding AI systems
- AI researcher / research scientistAdvancing the field (~$140,300)
- Data scientistData & modeling
- NLP / computer-vision engineerSpecialized AI
- Applied scientistIndustry R&D
- AI product / MLOps rolesDeploying AI
Job outlook & demand
Demand is surging as AI spreads across industries. The BLS projects computer & information research scientists to grow about 22% (much faster than average), and related data-science roles ~34%. AI is one of the hottest areas in tech, with intense competition for skilled specialists.
Pay: median, range & trajectory
Per the U.S. Bureau of Labor Statistics (May 2025), computer & information research scientists had a median of $140,300; related data-scientist and developer roles also pay well above average. AI specialists often command premiums above these medians, especially at leading tech firms and in scarce specialties.
Degree levels it's offered at
Offered across these levels — click a level to learn about it:
A bachelor's (with strong math + programming) enters applied ML roles; a master's or PhD is common for research and advanced AI positions — the field is research-heavy at the frontier.
Is it right for you?
You might thrive here if you love math and programming, are fascinated by intelligent systems, and enjoy fast-moving, cutting-edge work.
Reality: the most advanced AI roles favor graduate study, and the field moves fast — continuous learning is essential. Strong math and ML fundamentals plus real projects are the foundation.
Explore further
Keep exploring:
Key facts
- FocusMachine learning, neural nets, NLP, vision
- StudyML/deep learning, math, programming, algorithms
- CareersML engineer, AI researcher, data scientist
- Outlook~22% (research scientists); surging demand (BLS)
- Pay$140,300 median (research, BLS); specialists higher
Where to learn more
Authoritative sources for careers and pay: