Introduction to Data Science and Machine Learning (AI)
UC A-G approved Introduction to Data Science and Machine Learning (AI) course delivered fully online through immersive VR and AI-enhanced instruction.
Section GUC A‑G Requirement
College-Preparatory Elective — 1 year required
Must be chosen from additional courses in categories A–F (beyond the minimum requirements) OR from other UC-approved college-preparatory electives, including computer science, business, statistics, and interdisciplinary STEM courses.
Why This Matters for College Admission
G electives are where students develop depth and signal academic passion. AI, cybersecurity, data science, and entrepreneurship courses are highly competitive differentiators for tech-oriented admissions profiles.
What You'll Learn
Develop computational thinking skills: decomposition, abstraction, and algorithms
Write, debug, and document code in industry-relevant programming languages
Understand data structures, sorting algorithms, and complexity analysis
Apply mathematics (discrete math, statistics, or calculus) to computing problems
Build working software projects with version control and collaborative workflows
Explore career pathways in software engineering, data science, and AI/ML
Course Structure
Foundations
- Core vocabulary and concepts
- Foundational skills
- Context-setting activities
Core Skills
- Skill-building exercises
- Primary assessments
- Collaborative projects
Advanced Concepts
- Deeper conceptual application
- Research and analysis
- Peer-review activities
Synthesis & Mastery
- Cross-unit integration
- Final capstone project
- Portfolio submission
Lectures & Reviews
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Prerequisites & Requirements
Open to qualifying students in grades 9, 10, 11, 12; no prerequisites required
All students complete a placement conversation with our admissions team before enrollment is confirmed. Questions? Contact admissions.