Online Master’s in AI
Online Master’s in AI
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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 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.
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.
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.
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,5 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.
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
Median annual wage of computer and information research scientists as of May 20244
Estimated job growth for computer and information research scientists from 2023 to 20335
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
Master machine learning, data science and AI applications with an MS in AI.
