Online BS in Artificial Intelligence Degree
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Overview

Discover the Science Behind Intelligent Systems

In the last few years, artificial intelligence (AI) has advanced rapidly, finding growing applications across industries and occupations.1 It offers the chance to be part of a transformative movement that’s shaping the future of work, society and global problem-solving.

The Bachelor of Science in Artificial Intelligence program at Grand Canyon University is designed for students who are curious, driven and ready to explore the foundations of intelligent systems — from machine learning and neural networks to robotics and natural language processing. You’ll engage with the science behind how machines learn, adapt and make decisions, helping you prepare to contribute to a future powered by ethical, innovative AI solutions.

Artificial intelligence student working on a laptop with a screen projection.
Why GCU

Dedicated Support to Earning a Bachelor’s in AI Degree

Whether you’re just beginning your academic journey or transferring from another institution, our program offers multiple resources to help you earn your degree. We provide academic support, career guidance and mentorship opportunities to help you stay focused and inspired. You’ll be surrounded by faculty and peers who share your passion for technology and your commitment to making an impact.

Hear From Our Faculty
"If handled correctly, AI can be a true collaborator and a partner that enables us to explore, create and solve problems in new ways. I want to serve as an ambassador for that perspective, showing how AI can enrich both work and life when used wisely."
Dr. Robert Loy
Assistant Dean, College of Engineering and Technology
Coursework

Prepare to Build Intelligent Systems That Learn, See, Move and Communicate

As the landscape of artificial intelligence rapidly evolves, our bachelor’s in AI degree is designed to help you prepare for tomorrow’s breakthroughs with a curriculum rooted in theory and driven by action. Throughout the program, you will confront ethical dilemmas in AI — such as bias, accountability and societal impact — and complete a capstone project that blends technical skills with hands-on relevance.

The curriculum is built on four core pillars:

Machine Learning

The program emphasizes data analysis, algorithmic design and model training to support intelligent systems across industries. It explores computational thinking, performance optimization through scalable algorithms and applications of machine learning in areas like finance and predictive analytics.

Computer Vision

The curriculum explores how machines process visual data to interpret and interact with their surroundings. Applications include computer vision techniques used in facial recognition and autonomous systems.

Robotics

This AI degree introduces core concepts in designing intelligent systems that interact with the physical world. Topics include robotic control, motion planning and decision-making in field-based environments.

Natural Language Processing (NLP)

This area of study focuses on how machines process and generate human language for meaningful interaction. It includes designing interfaces that interpret communication and exploring applications like chatbots, translation tools and sentiment analysis.

Careers

Career Paths for BS in Artificial Intelligence Graduates

Workers in many computer-related occupations use AI in their day-to-day work.1 Some roles are not purely “AI jobs” but are still being transformed by AI tools.

Graduates of our BS in Artificial Intelligence program may be prepared to pursue roles in a wide range of industries, including:

Computer and information research science

Software development

Computer and robotics programming

Data science

Special effects and animation

Machine learning

$140,910

Median annual wage for computer and information research scientists as of May 20242

20%

Estimated job growth for computer and information research scientists from 2024 to 20343

Accreditation

Earn Your BS in AI Degree From an Accredited University

GCU has been institutionally accredited by the Higher Learning Commission (HLC) since 1962. This long-standing accreditation reflects our commitment to academic excellence, continuous improvement and student success. When you earn your degree from GCU, you join a legacy of learners who are purpose-driven, forward-thinking and ready to lead.

FAQ

Frequently Asked Questions

Thinking about a future in AI? Here you'll find clear, straightforward answers to common questions to help you feel confident and informed as you explore your academic options.

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Build Your Foundation in Intelligent Innovation

Start your journey with a bachelor’s in AI and gain the skills to shape tomorrow’s intelligent technologies.

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  1. U.S. Bureau of Labor Statistics. (2025, February). Incorporating AI Impacts in BLS Employment Projections: Occupational Case Studies. Monthly Labor Review. Retrieved Aug. 26, 2025.
  2. The earnings referenced were reported by the U.S. Bureau of Labor Statistics (BLS), Computer and Information Research Scientists as of May 2024, retrieved Aug. 27, 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.
  3. 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 Aug. 27, 2025.

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