Online Master’s in AI
Online Master’s in AI
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Explore our FAQs to learn more about GCU’s master’s degree in AI online, including career and program details, curriculum and learning opportunities.
What can I do with a master’s in artificial intelligence?
Is a master’s in artificial intelligence worth it?
Does an MS in AI require coding?
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.
Online Learning
Learning Management System
"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.(See disclaimer 1)"
"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.(See disclaimer 1)"
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.
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.
Master machine learning, data science and AI applications with an MS in AI.
Online: $600 per credit [More Info]
Up to 12 credits or 1/3 of the total program requirements in transfer (whichever is less)
Credits: Fill out the Lopes Eval to find out what will transfer
Admission Requirements (Master's)
OR 2.5+ Unweighted GPA and
Admission requirements may differ based on degree level, program and modality, or transfer status. Some programs of study may require a higher GPA and/or other qualifying criteria for admission. Please review full admission and program requirements in the University Policy Handbook.
* Degree must be from an accredited college or program that has been approved by GCU.
** Combined verbal/quantitative, after August 2011 (1,000 combined verbal and quantitative, prior to August 2011).
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
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:(See disclaimer 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
Median annual wage of computer and information research scientists as of May 2024(See disclaimer 4)
Estimated job growth for computer and information research scientists from 2023 to 2033(See disclaimer 5)
