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Computer Science

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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
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Computer Science

Courses

COM SCI X 450.3

Big Data Management

Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.
MGMT X 457.2

Blockchain Solutions, Governance and Collaboration

If you want value from blockchain technology, collaboration and good governance are just as important as building the related technology solution. This course provides an in-depth understanding of blockchain economics and incentives, governance, networks, business models, and achieving successful consortia using diverse case studies.

 

COM SCI 910.2

Building Retrieval Augmented Generation (RAG)

This course teaches students to design and deploy Retrieval-Augmented Generation systems, combining LLMs with external data for accurate, scalable AI applications using modern tools, evaluation frameworks, and cloud platforms.