
Online BS in Artificial Intelligence Degree
journey today.
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.

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.
Designed for learners with diverse schedules, our artificial intelligence degree online option offers the flexibility to study remotely while maintaining access to quality instruction and resources. As an online student, you can benefit from interactive coursework, virtual labs and collaborative projects — all supported by a robust digital learning environment that keeps you connected and engaged.
Our vibrant campus community offers hands-on learning in labs like virtual reality, artificial intelligence and intelligent systems. You’ll also find student organizations and research opportunities that foster a culture of innovation and collaboration — where ideas are nurtured and turned into action.
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.
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
Median annual wage for computer and information research scientists as of May 20242
Estimated job growth for computer and information research scientists from 2024 to 20343
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.
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.
An artificial intelligence degree is an interdisciplinary program that combines computer science, mathematics, data analysis and cognitive science to explore how machines can simulate human intelligence. It can equip you with the tools to design, build and evaluate intelligent systems that learn and adapt.
If you want to build a career in AI, machine learning or data science, an AI degree provides structured learning, credibility and access to research, internships and professional networks. A degree in AI is more specialized than a traditional computer science program, and it blends several disciplines, including mathematics, programming, cognitive science and ethics. Additionally, computer and information research scientists had a median annual wage of $140,910, as of May 2024, according to the U.S. Bureau of Labor Statistics (BLS).2
AI is increasingly influential in technical fields, such as software engineering, robotics, data science and cybersecurity.1 According to the BLS, the need for AI-related skills continues to grow, offering opportunities to solve complex problems and drive innovation in areas like automation, algorithm development and intelligent systems.3 That said, career outcomes can vary based on your specialization, experience and goals.
For those looking to deepen their expertise, pursuing a master’s degree in AI can potentially be a strategic next step toward advanced roles in research, technical leadership and specialized development across engineering and computing disciplines.
AI can be a rigorous and intellectually stimulating field. It involves mastering concepts in programming, mathematics and logic. However, with curiosity, persistence and the right support, students from diverse backgrounds can grow into confident, capable professionals.

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