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

Data Science Fundamentals

Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.

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Data Structures and Algorithms for Software Development

This course deepens students’ understanding of data structures and algorithms, covering design, analysis, and implementation with a focus on both theory and practical applications.

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Deep Learning

Gain a robust understanding of deep learning through both theory and hands-on implementation, spanning domains such as computer vision, natural language processing (NLP) and graph data analysis. Explore neural network architectures, optimization techniques, and advanced models (CNNs, RNNs, GANs, GNNs).

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Driving Value through Agile Principles and Mindset

For students looking to better understand the basics of Agile Methodology, this class will tough on the history of the craft, the differences between predictive( Waterfall) and Agile deliver methods and basic implementation in the workplace.

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Exploratory Data Analysis and Visualization

Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.

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