Online Master’s in AI

Master of Science in Artificial Intelligence

Offered By: College of Engineering and Technology

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.

Isac Artzi, PhD Associate Professor and Program Lead

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.

Our flexible online learning platform can help you explore AI while balancing life, with support from university counselors and faculty. You will have the opportunity to build technical skills and gain ethical insights in a collaborative online community. 

Through our Learning Management System, online students can engage with peers and professors in interactive forums and group projects and use tools like eBooks, calendar reminders and technical support.

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$140,910

Median annual wage of computer and information research scientists as of May 20241

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
TOTAL CREDITS & COURSE LENGTH:
Total Credits: 46
Online: 8 weeks
[More Info]
TRANSFER CREDITS:
Up to 12 credits or 1/3 of the total program requirements in transfer (whichever is less)
TUITION RATE:

 

In our AI courses, we teach the mathematical theory needed for these courses, in the context of their applications.

Isac Artzi, PhD Associate Professor and Program Lead
AI master’s student working on a computer at a desk

Career Opportunities for Graduates With an MS in AI

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

26%

Estimated job growth for computer and information research scientists from 2023 to 20334

I want to make sure our students are prepared for the workforce,” Lucas said. “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

Greg Lucas Colangelo College of Business Faculty Chair

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.

Two women in a computer lap using AI on a computer

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.

A master’s in AI online can help you deepen your technical skills and explore machine learning, data science or AI research opportunities. Depending on your interests, it might open doors to work on intelligent systems, automation or applied AI in industries like healthcare or finance. It’s a flexible path that can build on your existing expertise.

Whether a master’s in AI online is worth it depends on your goals. If you already have strong technical skills, it could be a way to dive deeper into areas like predictive modeling, text analysis or autonomous systems. With AI rapidly evolving,4 it might help you stay ahead — but it’s worth weighing how it fits with your long-term plans.

Yes, most MS in AI programs require coding — especially in languages like Python. You’ll likely work on projects involving algorithms, model training and tools like TensorFlow or PyTorch. The exact level of coding depends on the program’s focus, but a solid technical background is usually expected.

Shape the Future of AI

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.

Course List

Major:
46 credits
Degree Requirements:
46 credits

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

Locations

GCU Online Student


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.