Section G · College-Preparatory Elective

R Programming and Data Analysis

UC A-G approved R Programming and Data Analysis course delivered fully online through immersive VR and AI-enhanced instruction.

1 Year Online · Remote / Hybrid / In-Person Mathematics - Computer Science Grades 9, 10, 11, 12 10 credits

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

Semester 1, Unit 1Weeks 1–5

Foundations

Core vocabulary and concepts
Foundational skills
Context-setting activities

Semester 1, Unit 2Weeks 6–12

Core Skills

Skill-building exercises
Primary assessments
Collaborative projects

Semester 2, Unit 1Weeks 13–18

Advanced Concepts

Deeper conceptual application
Research and analysis
Peer-review activities

Semester 2, Unit 2Weeks 19–24

Synthesis & Mastery

Cross-unit integration
Final capstone project
Portfolio submission

Lectures & Reviews

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