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Get an artificial intelligence masters online with AI innovation rooted in ethics.

The Master of Science in Artificial Intelligence (MSAI) program at 91Ó°ÊÓ Christian University cultivates expertise in machine learning, neural networks and intelligent systems through a comprehensive 33-credit curriculum. The AI world is ever-changing, and new theoretical, technical and ethical challenges arise at every turn.

91Ó°ÊÓ’s innovative MS in Artificial Intelligence integrates AI theory with ethical principles rooted in Christian tradition. This artificial intelligence master degree online combines these foundations with hands-on application, preparing the next generation of AI innovators to shape the landscape of this emerging technology for years to come.

Overview of the Master's in Artificial Intelligence Curriculum

91Ó°ÊÓ’s Unique Ethical Stewardship Training

What sets 91Ó°ÊÓ’s MS in Artificial Intelligence program apart is its fusion of technical expertise and ethical considerations, all viewed through a Christian perspective. In a landscape where AI ethics and responsible development are increasingly crucial, graduates of this artificial intelligence masters program emerge not only as skilled AI specialists but as responsible stewards of technology.

Robust AI Curriculum

The MS in Artificial Intelligence consists of 33 credit hours of comprehensive coursework. Students must complete all courses with a grade of B or better while maintaining a minimum 3.0 cumulative GPA. The artificial intelligence degree online culminates in either a research-focused thesis Capstone Project or an industry-based Applied Learning Practicum, giving masters in AI students practical experience with real-world challenges.

Review degree plan

MS in Artificial Intelligence Courses

  • Foundations of Artificial Intelligence: An introduction to the fundamental concepts, techniques and applications of artificial intelligence. This course covers problem-solving, knowledge representation, search algorithms and intelligent agents through lectures, discussions and hands-on exercises.
  • Machine Learning: Explore the theory, algorithms and applications of machine learning techniques, including supervised learning, unsupervised learning and reinforcement learning. Students gain hands-on experience implementing machine learning algorithms and applying them to real-world datasets.
  • Neural Networks and Deep Learning: Study the theory, architectures and applications of neural networks, including feedforward neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs) and deep belief networks (DBNs).
  • Natural Language Processing: Master techniques for enabling computers to understand, interpret and generate human language. This course covers text preprocessing, syntactic and semantic analysis, sentiment analysis, machine translation and dialogue systems.
  • Computer Vision: Engage with image processing, feature extraction, object detection, image segmentation and classification. Students gain practical experience designing and implementing computer vision systems for tasks such as image recognition, object tracking and scene understanding.
  • Robotics: Study robot kinematics, dynamics, motion planning, perception and control. Through laboratory exercises and hands-on projects, students design and implement robotic systems for manipulation, navigation and human-robot interaction.
  • Reinforcement Learning: Master algorithms for training agents to make sequential decisions in uncertain environments, including Q-learning, policy gradients and deep reinforcement learning techniques. Apply these methods to control tasks and games.
  • Data Mining and Big Data Analytics: Focus on extracting knowledge from large and complex datasets using data preprocessing, pattern recognition, clustering, classification and association analysis. Students work with distributed computing frameworks and real-time processing methodologies.
  • Evolutionary and Cognitive Computing: Explore bio-inspired computing methods including genetic algorithms, evolutionary strategies, swarm intelligence and neural-symbolic systems. Students design and implement evolutionary algorithms for optimization and pattern recognition tasks.
  • AI Ethics and Society: Examine ethical frameworks, principles and guidelines for responsible AI development through case studies and current applications. This course explores bias and fairness, transparency and accountability, privacy and data protection, autonomy and control.

Capstone Project and Applied Learning Practicum

Students in the MS in Artificial Intelligence program complete their studies through either a research-focused thesis Capstone Project or an industry-based Applied Learning Practicum. The thesis option allows deeper study of emerging AI technologies, contributing new knowledge to the field. The practicum provides hands-on experience implementing AI solutions in enterprise environments, strengthening the value of this artificial intelligence master degree.

Learning Modalities

This MS in Artificial Intelligence is offered as a fully online program or as a low-residency program. The artificial intelligence degree online takes place in dynamic, easy-to-use online learning environments, including nonsynchronous online coursework and learning projects.

The low-residency option combines online learning with on-campus experiences. Each course includes one residency weekend session (Friday-Saturday) held at the 91Ó°ÊÓ campus, where you will attend two-day intensive sessions for hands-on learning and collaboration.

Admissions Requirements

  • Bachelor’s degree from a regionally accredited university with a minimum 3.0 GPA
  • Undergraduate degrees in Computer Science, Mathematics, Electrical Engineering or similar fields are preferred, but not required
  • Conditional admission consideration for GPAs between 2.5 and 2.99
  • For International Students:
    • Successful completion of the English Proficiency Test
    • FTE (Foreign Transcript Evaluation of Bachelor’s degree transcript)

Expanding Career Opportunities in Artificial Intelligence

The AI field continues experiencing strong growth, with increasing demand for specialists across industries. 91Ó°ÊÓ’s MSAI graduates emerge prepared for diverse roles in the technology sector, and the master of science in artificial intelligence credential supports advancement into leadership positions.

Career Paths and Roles

  • Research Scientist: Advances work in machine learning and neural network development at technology companies and research institutions.
  • AI Engineer: Implements sophisticated systems in enterprise environments, developing solutions for complex business challenges.
  • Machine Learning Engineer: Designs and implements machine learning models and AI systems, bridging the gap between data science and software engineering.
  • AI Ethics Consultant: Helps organizations navigate AI complexities while ensuring responsible development practices.
  • Computer Vision Specialist: Develops surveillance and safety systems, working on image recognition and object detection.
  • Natural Language Processing Expert: Builds communication technology and human-computer interaction systems.
  • AI Architect: Designs and manages enterprise-level AI infrastructure and systems integration.
  • Robotics Engineer: Designs, builds and maintains autonomous systems and robotic solutions.
  • AI Product Manager: Guides the development of AI-powered products and solutions.
  • AI Research Director: Leads teams in advancing new AI technologies and applications.

Industry Applications

AI expertise can influence a variety of sectors, including healthcare through diagnostic systems and personalized medicine, finance through risk assessment and algorithmic trading, manufacturing through process optimization and quality control, energy through smart grid management, government through public service enhancement and transportation through logistics optimization. Obtaining an artificial intelligence masters sets you apart from other applicants to AI career fields.

Opportunities for Artificial Intelligence Masters Students

International Student Internship Opportunities

The artificial intelligence degree online includes off-campus internship opportunities for international students through the Applied Learning Practicum. Industry partnerships provide networking opportunities and exposure to real-world AI applications through guest lectures, workshops and collaborative projects, adding value to your masters in AI experience.

Transform the Future with Artificial Intelligence

The Master of Science in Artificial Intelligence at 91Ó°ÊÓ Christian University represents more than technical education – it’s an opportunity to shape the future of technology with wisdom and integrity. By combining advanced technical training with ethical principles rooted in Christian tradition, graduates of this artificial intelligence master degree emerge prepared to lead AI innovation responsibly across industries.

Common Questions About An AI Masters Degree

The data strongly suggests yes, with a few caveats. In 2026, mentions of AI in U.S. job listings increased by 56.1% through April, and generative AI skills saw nearly four times more job postings in 2024 than in 2023, according to .

A master’s degree expands the number of available AI job opportunities, since an advanced degree is often required for higher-level roles, and it also increases earning potential while signaling commitment to the field.

Researchers leveraging AI tools also produce 67% more publications and step into leadership positions four years earlier than their peers — indicating that the degree accelerates career trajectory beyond just salary.

For online programs specifically, the key factors to evaluate are regional or national accreditation, institutional reputation in STEM, and whether the degree holds value in professional circles. Some programs may also carry ABET accreditation, which signals to employers that the program was held to high technical and academic standards, according to .

The bottom line: for anyone with a technical background looking to advance in AI, the combination of strong job growth, high salaries, and increasing employer demand makes a master’s in AI one of the more financially justifiable graduate degrees available right now.

To be admitted into the MSAI program, the following requirements apply:

  • Academic Background: You must have a bachelor’s degree from a regionally accredited university. While degrees in Computer Science, Mathematics, or Electrical Engineering are preferred, they are not required.
  • GPA Standards: A minimum undergraduate GPA of 3.0 is standard. However, applicants with a GPA between 2.5 and 2.99 may be considered for conditional admission.
  • Documentation: You are typically required to submit a resume or CV with at least two professional or academic references.

The program consists of 33 credit hours. While the specific duration for 91Ó°ÊÓ’s program can vary based on your pace (full-time vs. part-time), most 33-credit online master’s programs are designed to be completed in 18 to 24 months. The program offers flexibility through 100% online coursework, allowing you to balance academic requirements with professional responsibilities.

A master’s in AI opens doors to some of the most in-demand and well-compensated roles in tech. The most common roles include machine learning engineer, AI product manager, natural language processing (NLP) engineer, and research scientist. Machine learning engineers frequently earn over $160,000 annually, while AI product managers average around $182,500, according to .

Other career paths include computer vision engineer, robotics engineer, data scientist, and AI ethics specialist. Industries seeking AI expertise span tech, healthcare, finance, and automotive.

The salary premium is significant: graduates with a master’s in AI earn an average starting salary of $128,000 — a 67% premium compared to bachelor’s degree holders in related fields, according to the 2025 Bureau of Labor Statistics data. AI-skilled workers overall command an average 56% wage premium, according to PwC’s 2025 Global AI Jobs Barometer.

The job market is strong and growing. Data scientists are projected to see 35% employment growth, software developers 25%, and computer and information research scientists 23% — all much faster than the average 3% across all occupations, according to .

Admissions and Aid

If you’re ready for a focused journey in Artificial Intelligence, 91Ó°ÊÓ welcomes you to apply to the artificial intelligence degree online. Whether you choose the campus-based master of science in artificial intelligence or the online master of science in artificial intelligence format, you will receive personalized support.

  • Explore next steps: Submit your application, FAFSA, transcripts, and required documents.
  • Tuition and financial aid: Review tuition and fees, federal aid, scholarships, and deadlines.
  • Get advising: Contact us for admissions and academic advising about the MSAI and online masters in artificial intelligence options.

Earn a Master of Science in Artificial Intelligence degree online at 91Ó°ÊÓ Christian University

Choose the online master of science in artificial intelligence pathway or low-residency MS in Artificial Intelligence format that fits your schedule. Contact your program coordinator for more information about the MS in Artificial Intelligence and the online masters in artificial intelligence option.

Contact your program coordinator for more information about the MS in Artificial Intelligence.
Zadok  Hakim
Associate Provost for Online Technology
Accreditation

91Ó°ÊÓ Christian University is accredited by the Southern Association of Colleges and Schools Commission on Colleges to award associate, baccalaureate, graduate and doctoral degrees.