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California State University, Chico

Artificial Intelligence Engineering MS

computer science students use ROS, MATLAB, and hands-on robot platforms to explore modeling, navigation, perception, and intelligent control of mobile and manipulator systems
  • Program Type

    Graduate

  • Delivery Type

    On Campus

In our master’s in artificial intelligence engineering, you’ll learn to build solutions that future-proof the world’s technology infrastructure. Rooted in electrical and computer engineering, this program helps you move from learning AI-theory to applying it in a range of real-world settings.

Blending deep theory and practical experience with cutting-edge AI tools, you will learn how to design systems that work within real-world limits, communicate technical ideas clearly, and apply ethical thinking to emerging technologies. Whether you want to step into a high-demand industry role or prepare for doctoral study, this program gives you the advanced skills to grow as an engineer, innovator, and problem-solver.

Application Deadlines

  • Fall: May 1
  • Spring: November 1

Requirements
One letter of recommendation and a statement of purpose.

Program Coordinator
Zhaohong Wang

Courses
View Curriculum

Additional Info

two people looking at a specimen with a microscope in front of them

What Classes You’ll Take

Study machine learning and deep learning, then apply them in signal processing, computer vision, embedded systems, and intelligent control. You’ll strengthen your math, programming, and research skills while completing a project, thesis, or culminating experience.

Customize Your AI Engineering Path

Shape the AI engineering master’s program to fit your interests. You’ll choose one of three plan options to help deepen your AI expertise while building skills for industry or advanced study.

  • Culminating Activity Plan

    Complete advanced coursework and finish with a research-based culminating activity. This option is a strong fit if you want broad preparation in AI engineering with flexibility in your final experience.

  • Project Plan

    Create an applied AI project that shows your ability to solve real engineering problems. This option is ideal if you want to build portfolio-ready work and prepare for professional practice in the industry.

  • Thesis Plan

    Pursue original research on a focused AI topic and produce a formal thesis. This path is best for students who want a deeper research experience and preparation for doctoral study.

Turn AI Insight into Career-Ready Skills

AI is changing the way industries solve problems, and employers need professionals who can design, train, and deploy intelligent systems. Our AI Engineering master’s program prepares you for roles such as AI engineer, machine learning engineer, robotics developer, computer vision specialist, autonomous systems engineer, or data scientist.

Graduates of the AI Engineering master’s program will find opportunities in healthcare, agriculture, manufacturing, defense, cybersecurity, robotics, and other fast-growing fields that rely on smart, data-driven technology.

Additional Information

Curious about how to apply for our program or what you need to know? Below you will find information about deadlines, who to contact, scholarships, and graduation requirements.

All prospective students must first apply for graduate admissions through Cal State Apply. Supplementary materials will either be collected electronically via Cal State Apply or sent directly to the program department.

Application Deadlines

  • Fall: May 1
    Spring: November 1

Supplemental Materials

  • One letter of recommendation
  • Statement of purpose

Contact program coordinator Zhaohong Wang to learn more about the master’s in AI engineering.

Graduate students can qualify for traditional financial aid by filling out the Free Application for Federal Student Aid (FAFSA) or California Dream Act Application (CADAA).

Scholarship Opportunities
California State University, Chico, provides merit and scholarship awards to deserving students for graduate studies, and many go unfilled. Scholarships are provided based on a variety of criteria, including academic merit, financial need, participation in clubs and activities, volunteer and community involvement, major and career goals, etc.

AI Engineering focuses on applying and building AI solutions, while AI Science emphasizes understanding and advancing AI development.

The AI Engineering degree focuses more on building and deploying AI systems. You gain experience designing real-world applications, making it ideal if you want to work directly in industry as an AI developer or engineer. 

The AI Science degree centers on developing algorithms, analyzing data, and exploring the ethical impact of AI. It’s a strong fit if you’re interested in research, data-driven problem solving, or applying AI across a range of fields.