Computer Science
Computer Science
Technology is evolving faster than ever—and so should your skills. Our newly reimagined computer science area of study can equip you with the tools to thrive in today’s data-driven, AI-powered world.
Whether you're launching a new career or leveling up your current one, our programs are designed to meet the demands of the modern tech landscape. Learn from industry experts through hands-on, project-based courses that blend theory with real-world application.
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Build the future. One line of code at a time.
Explore our key focus areas:
Software Development & Programming
Master the languages, frameworks, and tools that power today’s most in-demand applications—from web and mobile to enterprise systems.
Machine Learning & Artificial Intelligence
Dive into the world of intelligent systems. Learn how to build, train, and deploy models that drive innovation across industries.
Data Analytics & Infrastructure
Gain the skills to collect, manage, and analyze data at scale. From pipelines to predictive analytics, turn raw data into actionable insights.
Cybersecurity, Cloud, and Emerging Tech
Stay ahead of the curve with courses in cybersecurity, cloud computing, blockchain, and more.
Why Choose UCLA Extension?
- Flexible online and hybrid formats
- Taught by working professionals in the field
- Career-focused certificates and specializations
- Open enrollment—no formal application required
Programs
Software Development
Develop software applications in Java and Python and enhance your web development skills. Gain the practical knowledge necessary to compete in an evolving technology ecosystem.
Systems Analysis
This certificate provides training in analysis and design of information systems. The program prepares students to perform information systems requirements analysis, design, development, installation, and operation, as well as testing and documentation.
Courses
AI Concepts to Structured Execution — From Insight to Workflow Design
This hands-on course helps students turn AI concepts into structured, auditable workflows. Using real aerospace use cases, students experiment with AI tools to design human-in-the-loop processes with defined inputs, outputs, checkpoints, guardrails, and escalation paths.
