M.S. in Artificial Intelligence

Lead the Strategic and Responsible Use of AI

Regent University’s Master of Science in Artificial Intelligence is a 30-credit, fully online graduate program designed to equip professionals with advanced expertise in AI theory, development, and deployment. By combining a rigorous conceptual foundation with hands-on application, the program is structured to help students develop the skills needed to guide the strategic and responsible use of AI across a range of professional contexts. Grounded in a Christian worldview, the program addresses both the technical and ethical dimensions of AI, including how to apply these powerful tools as instruments to honor God and serve others.

Location: Online

Total Credit Hours: 30

Built For Application

Rather than focusing primarily on mathematical abstraction, the program is designed to develop practical expertise in building, managing, and deploying AI systems in real-world contexts. Students can work with AI technologies and tools with an emphasis on hands-on usage, best practices, and applied problem-solving.

A Christian Perspective on AI

AI raises some of the most pressing ethical questions of our time. This program is designed to address those questions head-on from a biblical worldview — with dedicated coursework in cybersecurity ethics and, optionally, the social, political, and theological implications of technology to promote ethical grounding.

Interdisciplinary Electives for a Range of Career Paths

Students can choose three elective courses from a diverse menu that spans AI for business decision-making, AI-driven innovation and entrepreneurship, AI in education, educational technology, government and policy, and organizational leadership. With this flexibility, students can tailor the degree to the professional context in which they intend to apply their expertise.

Please complete the Request Information form on this page to learn more about this program.

Career Opportunities

Students who complete the M.S. in Artificial Intelligence may be positioned to pursue roles such as:

Designing, developing, and deploying AI systems and applications in commercial, government, or nonprofit settings.
Guiding the strategic adoption and responsible governance of AI within organizations.
Building and maintaining software systems that incorporate machine learning, natural language processing, and other AI technologies.
Leading cross-functional technology initiatives as a product manager, technical lead, or emerging executive.

Career Opportunities

AI Engineer
AI Solutions Architect
AI Developer
Data Engineer
Software Engineer
Technology Leadership

Featured Courses

Table listing featured courses with course code, name, and credit hours.
Code	Name	Credits
Code: AISY 610	Foundations of AI	Credits: 3	Exploration of artificial intelligence concepts, algorithms, applications, and trends.
Code: AISY 620	Applied Artificial Intelligence	Credits: 3	Application of AI technologies and tools, emphasizing hands-on usage and best practices.
Code: AISY 630	Managing AI Systems	Credits: 3	Principles and practices for managing AI systems, including models, architectures, human-AI interaction, security, and safety.
Code: AISY 640	Artificial Intelligence Data & Algorithms I	Credits: 3	Applied mathematics and data science for AI, including analytics, data structures, and computational methods. Designed to build the quantitative and algorithmic foundation underlying modern AI systems.
Code: AISY 650	Artificial Intelligence & Cybersecurity	Credits: 3	Application of artificial intelligence tools and methods to enhance cybersecurity operations.

Students should refer to their catalog or audited degree plan (ADP) for required courses to complete their degree.

Admissions Requirements

2026-27 Semester Check-In Deadlines

All students are expected to check-in for the semester two weeks before the session start date. Students should apply, be accepted, enroll in their first courses, and confirm a plan to pay for their courses prior to this date.

Session	Semester Check-In	Session Start Date
Session A	Friday, August 14	Monday, August 24
Session M	Friday, September 11	Monday, September 21
Session B	Friday, October 16	Monday, October 26
Session C	Wednesday, January 6	Monday, January 11
Session T	Friday, January 29	Monday, February 8
Session D	Friday, March 5	Monday, March 15
Session E	Friday, April 30	Monday, May 10
Session F	Friday, June 11	Monday, June 21

Admissions Requirements

Step 1: Apply to Regent University

Submit your application using the Regent University Online Application.

Note: If you are unable to complete our application due to a disability, please contact our Admissions Office at 757.352.4990 or admissions@regent.edu and an admissions representative will provide reasonable accommodations to assist you in completing the application.

Step 2: Submit Your Unofficial Transcripts

Submit your unofficial transcripts to regent.edu/items.

Upon submitting your application, you will receive an email requesting authorization for Regent University to obtain your official transcripts from your U.S. degree-granting institution. International transcripts must be evaluated by a NACES or NAFSA approved agency.

Step 3: Submit Your Government-Issued ID

To ensure academic integrity, Regent University requires a copy of a government-issued ID. Please submit a scanned copy or photograph of it to regent.edu/items.

Please feel free to contact the Office of Admissions at 757.352.4990 or admissions@regent.edu should you have any further questions about the application process.

Note: All items submitted as part of the application process become the property of Regent University and cannot be returned.

Tuition & Fees

2026-27 Tuition Rates

Part-Time Students

Degree	Tuition Cost Per Credit Hour	Average Credit Hours Per Semester	Average Tuition Per Semester
M.S. in Artificial Intelligence	$695	6	$4,170
M.S in Cybersecurity	$695	6	$4,170

Full-Time Students

Degree	Tuition Cost Per Credit Hour	Average Credit Hours Per Semester	Average Tuition Per Semester
M.S. in Artificial Intelligence	$695	9	$6,255
M.S. in Cybersecurity	$695	9	$6,255

Student Fees Per Semester

University Services Fee (On-Campus Students)	$900 (Fall & Spring) $750 (Summer)
University Services Fee (Online Students)	$750

Military Admissions & Aid » | Cost of Attendance »

2025-26 Tuition Rates

Part-Time Students

Degree	Tuition Cost Per Credit Hour	Average Credit Hours Per Semester	Average Tuition Per Semester
MS in Cybersecurity	$695	6	$4,170

Full-Time Students

Degree	Tuition Cost Per Credit Hour	Average Credit Hours Per Semester	Average Tuition Per Semester
MS in Cybersecurity	$695	9	$6,255

Student Fees Per Semester

University Services Fee (On-Campus Students)	$900 (Fall & Spring) $750 (Summer)
University Services Fee (Online Students)	$750

Military Admissions & Aid » | Cost of Attendance »

*Rates are subject to change at any time.

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