Online Master’s in AI
Harness the Power of Artificial Intelligence
The Master of Science in Artificial Intelligence (AI) program is designed for those looking to deepen their expertise in creating intelligent systems and exploring the vast potential of AI technologies. Whether you're drawn to the world of machine learning, natural language processing or software development, this program provides a comprehensive foundation in computer science, mathematics and software engineering while focusing on the ethical implications of AI.
This degree is ideal for professionals with a background in technology or data analytics who are ready to take their skills to the next level. Throughout the program, you’ll explore how AI can be applied across industries like technology, healthcare, finance and transportation — helping you gain the insights needed to shape the future of intelligent systems.
My students are at an exciting pivotal point in the evolution of humanity, on par with the invention of the steam engine, electricity, flight and nuclear power reactors. The current generation will face the challenge of shaping the course of humanity for the next 100 years.
Unlock the Potential of AI Education at GCU
At GCU, you can explore the rapidly evolving world of AI through online programs designed to fit your schedule and support your goals. Rooted in a Christian worldview, our approach can equip learners to innovate with integrity and to lead with purpose in an increasingly digital world.
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MS in Artificial Intelligence Courses and Topics
The MS in AI program is designed to introduce students to both the technical and ethical dimensions of this rapidly evolving field. Through a progression of courses, students have the opportunity to explore foundational concepts in machine learning and advanced techniques with Large Language Models (LLM).
Here's a glimpse into the topics and coursework that may be covered:
- Programming for AI and machine learning
- Core math and statistics for AI algorithms
- Machine learning methods and applications
- Deep learning and neural networks
- Ethical development and use of AI
In our AI courses, we teach the mathematical theory needed for these courses, in the context of their applications.
If you're ready to explore the intersection of modern technology and practical challenges, the MS in Artificial Intelligence could be your next step. Developing expertise in this field can lead to a variety of evolving opportunities. Although outcomes depend on individual paths and market trends, many industries are actively integrating AI into their operations.
Here are a few areas where AI skills are becoming increasingly valuable:2,3
- Machine learning engineering
- Natural language processing (NLP) design
- Language model training
- AI ethics consulting
- Computer vision engineering
- AI prompt planning
- AI product management
I want to make sure our students are prepared for the workforce. We hear employers right now say, ‘Hey, we want to make sure that your students in our future workforce are proficient in AI,' just like President (Brian) Mueller has done by challenging every department to use AI to become more efficient.5
Pursue Your Master’s at an Accredited University
GCU has been institutionally accredited by the Higher Learning Commission since 1968 and is proud to prioritize quality education and comprehensive instruction. The College of Engineering and Technology shares the university’s commitment to upholding the principles and standards established by our accrediting bodies.
Frequently Asked Questions
Explore our FAQs to learn more about GCU’s master’s degree in AI online, including career and program details, curriculum and learning opportunities.
Master machine learning, data science and AI applications with an MS in AI.
1 The earnings referenced were reported by the U.S. Bureau of Labor Statistics (“BLS”), Computer and Information Research Scientists as of May 2024, retrieved May 5, 2025. Due to COVID-19, data from 2020 to 2024 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 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 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.
2 Pecan. (2024, May 7). Decoding Artificial Intelligence Job Titles. Retrieved April 17, 2025.
3 Magill, K. (2023, July 6). Jobs of the Future, Now Hiring: AI Job Titles and What They Do. Dataspace. Retrieved April 17, 2025.
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 September 2024, which can be found here: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, Computer and Information Research Scientists, retrieved April 17, 2025.
5 Gonzales, M. (2024, Feb. 29). AI Credentials Could Be the Right Algorithm for GCU Students. GCU News. Retrieved May 5, 2025.
Core Courses
Course Description
This course is designed to prepare students for the graduate learning experience at Grand Canyon University. Students have opportunities to develop and strengthen the skills necessary to succeed as graduate students in the College of Engineering and Technology and the College of Natural Sciences. Emphasis is placed on utilizing the tools for graduate success.
Course Description
This foundational course serves as an introduction to the core concepts and skills required for a successful journey into the world of data science. It covers the fundamental mathematical and programming principles needed to build a strong foundation for advanced data analysis.
Course Description
This course introduces computer programming for AI applications, focusing on structures and algorithms used in AI and machine learning. Prerequisite: DSC-505.
Course Description
This course equips students with the mathematical knowledge essential for understanding and developing AI algorithms. Prerequisite: DSC-505, AIT-515 or a BS in a computing field.
Course Description
This course focuses on the statistical techniques required for effective data analysis, crucial for AI and machine learning. Prerequisite: AIT-525.
Course Description
This course covers key machine learning methodologies and their practical applications. Prerequisite: AIT-530.
Course Description
This course explores the advanced techniques and models in deep learning, a key driver of recent AI successes. Prerequisite: AIT-535.
Course Description
This course addresses the ethical challenges and considerations that come with the development and deployment of AI systems. Prerequisite: AIT-535.
Course Description
This course provides comprehensive training in the development and deployment of AI applications, focusing on the practical aspects of bringing AI solutions to production. Prerequisite: AIT-535, AIT-540.
Course Description
This course focuses on the statistical techniques required for effective data analysis, crucial for AI and machine learning methods for text processing. Prerequisite: AIT-540.
Course Description
This course offers a comprehensive introduction to the field of computer vision. It focuses on developing and applying computer vision algorithms and techniques in real-world scenarios. Prerequisite: AIT-540.
Course Description
This capstone course is designed to be a culmination of the MS in AI program, allowing students to demonstrate their mastery of the subject and readiness for professional challenges or further academic pursuits in the field of AI. Prerequisites: AIT-545, AIT-550, and AIT-555.
- GCU cannot and will not promise job placement, a job, graduate school placement, transfer of GCU program credits to another institution, promotion, salary, or salary increase. Please see the Career Services Policy in the University Policy Handbook.
- Please note that this list may contain programs and courses not presently offered, as availability may vary depending on class size, enrollment and other contributing factors. If you are interested in a program or course listed herein please first contact your University Counselor for the most current information regarding availability.
- Please refer to the Academic Catalog for more information. Programs or courses subject to change
Pursue a next-generation education with an online degree from Grand Canyon University. Earn your degree with convenience and flexibility with online courses that let you study anytime, anywhere.