Online Master’s in AI

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Overview

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.

Graduate artificial intelligence student working with software on a screen
Why GCU

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.

 

What Our Faculty Says About AI at GCU
"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.1"
Greg Lucas
Colangelo College of Business Faculty Chair
Woman looking at phone with AI on the screen
Coursework

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 are 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

Careers

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

$140,910

Median annual wage of computer and information research scientists as of May 20244

26%

Estimated job growth for computer and information research scientists from 2023 to 20335

Accreditation

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.

FAQ

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.

Shape the Future of AI

Master machine learning, data science and AI applications with an MS in AI.

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  1. Gonzales, M. (2024, Feb. 29). AI Credentials Could Be the Right Algorithm for GCU Students. GCU News. Retrieved May 5, 2025
  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. 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.
  5. 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.

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