Online AI Degrees
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Overview

Advancing Innovation Through Artificial Intelligence

Artificial intelligence (AI) is transforming the way we solve problems, create experiences and perceive the world around us. Offered by the College of Engineering and Technology at Grand Canyon University, our online AI degrees invite you to explore the principles and technologies driving this evolution. 

From machine learning and computer vision to natural language processing, you’ll engage with concepts that power intelligent systems and spark digital innovation. If you’re ready to turn curiosity into capability, GCU offers a flexible and forward-thinking approach to learning that fits your goals.

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Programs

View All Online AI Degrees

3 Matching Degrees

What Students and Faculty Are Saying
"I really feel like the professors at GCU have invested in me personally. They are always encouraging and providing me with the resources to further my own education and really just grow my interest and passion for technology."
Christian Taillon
Bachelor’s in information technology graduate
Coursework

AI Coursework and Core Disciplines

AI spans multiple disciplines and GCU’s AI degrees online can help equip you to be at the forefront of this evolution. Our curriculum combines foundational theory with practical application, teaching you how to design systems that learn, adapt and interact with the world. 

You’ll explore critical topics such as ethical considerations in AI — including fairness, transparency and societal impact. You can also gain hands-on experience through a capstone project that integrates technical expertise with practical problem-solving.

Core disciplines and coursework you will study include:

  • Machine learning
  • Robotics
  • Computer vision and image processing
  • Natural language processing (NLP)
  • Scientific computing for AI
  • Deep learning and neural networks
  • Core math and statistics for AI algorithms
  • Data analysis and feature engineering
Careers

Careers in Artificial Intelligence

AI is revolutionizing technology and business. Some roles focus entirely on AI, such as machine learning engineers and data scientists, while many others, ranging from software development to healthcare, now rely on AI tools to enhance efficiency and drive innovation.(See disclaimer 1,2)

Those who pursue artificial intelligence degrees may be prepared to pursue roles in a wide range of industries, including:

Computer and information research science

Software development

Computer programming

Data science

Special effects and animation

Robotics programming

Machine learning

$140,910

Median annual wage for computer and information research scientists as of May 2024(See disclaimer 3)

20%

Estimated job growth for computer and information research scientists from 2024 to 2034(See disclaimer 4)

FAQ

Frequently Asked Questions

Whether you are contemplating a career in AI, exploring educational pathways or seeking answers to specific questions, this section aims to address your inquiries.

Why GCU

Why Choose GCU for AI Degrees?

At GCU, we go beyond teaching theory. We teach the skills to help you pursue opportunities in one of the fastest-growing fields in technology.(See disclaimer 6) Our AI degrees are designed with industry relevance at its core, offering comprehensive coursework, hands-on projects and virtual labs that mirror workplace applications. You can gain experience applying AI concepts to solve complex problems while collaborating with knowledgeable faculty and peers who share your passion for innovation. Choosing GCU means choosing a program that helps prepare you with the skills, knowledge and confidence to explore roles in the evolving world of artificial intelligence.

Affordability

GCU is recognized for its affordability and strives to keep tuition costs competitive so that a private, Christian education is within reach for all students. To help make your education more affordable, we also offer a range of scholarship opportunities for students who meet specific criteria.

Accreditation

GCU has been institutionally accredited by the Higher Learning Commission since 1968. This accreditation covers our traditional and online courses, providing a foundation of trust for quality education. 

Flexibility

Online students at GCU use our Learning Management System (LMS) for access to eBooks, discussion forums and calendar reminders to stay organized. You’ll also benefit from resources designed for emerging technologies, such as virtual labs and interactive projects that can help you apply AI concepts in practical scenarios.

Resources

Student Resources

GCU’s LMS creates an interactive online classroom where AI students can collaborate through discussion forums, group projects and direct engagement with professors for personalized support. These tools help facilitate communication and networking, keeping you connected to your peers and faculty.

In addition to online learning resources, students pursuing AI degrees have access to specialized support from the College of Engineering and Technology, including guidance and tools designed for emerging technologies. Combined with technical support and student services, these resources can help you stay confident and on track as you work toward graduation.

Woman working on a laptop with AI interface and data visualizations overlayed on the screen.
Start Your Journey in AI Innovation

Explore machine learning, computer vision and NLP through GCU’s flexible AI degrees online.

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  1. U.S. Bureau of Labor Statistics. (2025, February). Incorporating AI Impacts in BLS Employment Projections: Occupational Case Studies. Retrieved December 2025.
  2. Coursera. (2025, Nov. 14). 9 Artificial Intelligence (AI) Jobs To Consider. Retrieved December 2025.
  3. The earnings referenced were reported by the U.S. Bureau of Labor Statistics (BLS), Computer and Information Research Scientists as of May 2024, retrieved December 2025. Due to COVID-19, data from 2020 to 2023 may be atypical compared to prior years. BLS calculates the median using salaries of workers nationwide with varying levels of education and experience. It does not reflect the earnings of GCU graduates as computer and information research scientists, nor does it reflect the earnings of workers in one city or region of the country or a typical entry-level salary. Median income is the statistical midpoint for the range of salaries in a specific occupation. It is very unlikely that a median salary will reflect an entry-level salary. It represents what you would earn if you were paid more money than half the workers in an occupation, and less than half the workers in an occupation. It may give you a basis to estimate what you might earn at some point if you enter this career. Grand Canyon University can make no guarantees on individual graduates’ salaries. Your employability will be determined by numerous factors over which GCU has no control, such as the employer the graduate chooses to apply to, the graduate’s experience level, individual characteristics, skills, etc. against a pool of candidates. 
  4. COVID-19 has adversely affected the global economy and data from 2020 to 2023 may be atypical compared to prior years. Accordingly, data shown is effective August 2025, which can be found here: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, Computer and Information Research Scientists, retrieved December 2025.
  5. Webb, H. (2025, April 30). Artificial Intelligence Degree Guide. The Best Schools. Retrieved February 2026. 
  6. Bone, M., Ehlinger, E.G. and Stephany, F. (2025, May). Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs. Science Direct. Retrieved December 2025.