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
Courses
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.
Building Retrieval Augmented Generation (RAG)
Cartography
This course introduces the methods, techniques and considerations behind geographic data visualization and Web based mapping. We will explore constructing narratives using maps with Esri's ArcGIS Story Map platform. It focuses upon data science, scientific communication, and the cartographic process, and in particular, considerations surrounding cartographic data visualization strategies.
