Computer Science Courses & Certificates

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

Computer Science

Courses

Introduction to Computer Science I

This course will provide an introduction to computer science via theory, applications, and programming.

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Introduction to Computer Science II

Gain an understanding of modern programming by learning the principles of object-oriented and generic programming.

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Introduction to Data Engineering

This course covers data engineering fundamentals, including data collection, storage, processing, and analysis. It explores the entire data pipeline and the technologies used, preparing students to apply these skills to real-world use cases in analytics and machine learning.

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Introduction to Data Science

This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.

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Introduction to Geographic Information Systems (GIS)

Students will learn how to think spatially, become familiar with information technology, produce maps, communicate effectively using spatial information, and conduct data analysis with GIS.

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