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Degrees and Certificates
Artificial Intelligence – MS
College of Business
AI Is Transforming Business
Make It Work for You
Masters in Artificial Intelligence (MSAI Program)
AI is reshaping how organizations operate—and skilled professionals are in high demand..
AUM’s MSAI program equips you with hands-on, career-ready skills to thrive in today’s AI-powered business world—no coding background required. Whether you’re in business, healthcare, government, or nonprofit work, you’ll learn to apply AI for better decisions, smarter operations, and competitive advantage.
You’ll learn to:
Why Choose AUM’s MSAI Program?
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The M.S. in Artificial Intelligence at AUM includes 10 courses (30 credit hours). Courses are delivered in both online and face-to-face formats, offering flexible options to fit your schedule.
You don’t need a technical background. Our focus is on training decision makers—people who lead projects, solve problems, and drive results. If you use Microsoft Office and a web browser daily, you’re equipped for success.
This is a “low code/no code” program. You don’t have to be a programmer to understand what’s happening. You’ll develop logical thinking skills to break problems into components and learn how to adapt existing AI tools to your needs.
You’ll start with the fundamentals—how AI is applied across business operations. Then you’ll build skills in automation, data analytics, machine learning, data visualization, and AI strategy. Three electives let you tailor the program to your interests and career goals.
Most students complete the program in three to four semesters. Fall and Spring courses follow the standard 15-week semester, while Summer courses are offered in 8-week terms for added flexibility.
Degree Options
Rewarding Occupations and Job Growth
Note: Because of the rapid growth of employment in AI, the U.S. Bureau of Labor Statistics has not yet started tracking occupational trends of emerging (and often overlapping) AI-related job titles such as Director of AI Technology, AI Product Manager, AI Engineer, Generative AI Architect, Machine Learning Engineer, and many others.
| Career/Job Title | Entry-Level Education Requirements | Job Growth 2025 - 2035 | Annual Median Salary |
|---|---|---|---|
| AI Product Manager | MS AI | 30% | $140,000 |
| Business Intelligence Analyst | MS AI | 28% | $120,000 |
| AI Consultant | MS AI | 32% | $135,000 |
| AI Ethics Consultant | MS AI | 34% | $130,000 |
| AI Marketing Strategist | MS AI | 29% | $125,000 |
| AI Operations Manager | MS AI | 31% | $128,000 |
Note: Salaries vary depending on several factors including your level of experience, education, training, demographics, and industry. Available data represents job titles across industries and may not be specific to your job category.
• Dataspace. (2023, July 6). Six common AI job titles that are in high demand. Retrieved from https://dataspace.com/talent-acquisition/ai-job-titles/
• University of San Diego. (2025). 14 Artificial Intelligence Careers & Job Outlook [2025]. Retrieved from https://onlinedegrees.sandiego.edu/artificial-intelligence-jobs/
• SGA Inc. (2025, April 2). The Future of Work: How AI is Shaping Career Paths in 2025. Retrieved from https://www.sgainc.com/the-future-of-work-how-ai-is-shaping-career-paths-in-2025/
• McKinsey & Company. (2025). AI in the workplace: A report for 2025. Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
• Robinson, B. (2025, January 17). 10 Hottest AI Jobs Of 2025, Paying Six-Figure Salaries. Forbes. Retrieved from https://www.forbes.com/sites/bryanrobinson/2025/01/17/10-hottest-ai-jobs-of-2025-paying-six-figure-salaries/
• PayScale. (2025). Average Artificial Intelligence (AI) Specialist Salary. Retrieved from https://www.payscale.com/research/US/Job=ArtificialIntelligence%28AI%29_Specialist/Salary
Master of Science in Artificial Intelligence
Required Courses
Contact the Department of Information Systems for a current listing of courses required to complete this program.
Admission Requirements: Eligible candidates must have a bachelor’s degree, in any discipline, from an accredited four-year institution (or a recognized equivalent from an accredited institution). Applicants’ previous academic record and GMAT or GRE score will be a consideration for admission. See the graduate catalog for details.
| Course # | Course Name | Course Description |
|---|---|---|
| INAI 5100 | AI in Business Operations | This course explores AI adoption across business and nonprofit sectors, focusing on AI-driven decision-making, workflow automation, and business intelligence applications. Through case studies and readings, students will assess strategic AI integration, ethical risks, and the competitive advantages of AI-powered business strategies. |
| INFO 5880 | Data Analytics | This course is an introduction to the use of Business Analytics and big data as a strategic resource. A focus is placed on integrating the knowledge of analytics tools with an understanding of how companies leverage data analytics to gain strategic advantage. The key areas of customer analytics and surveys of data mining techniques and applications will also be covered. Case approach is used to emphasize hands-on learning and a real-world view of Business and big data analytics. |
| INAI 6000 | AI Automation | This course explores AI-powered automation in business, covering chatbots, workflow optimization, and decision support. Students apply low-code AI tools, prompting, and automation strategies to enhance efficiency. Ethical and security implications are examined, preparing students to implement AI-driven solutions in evolving business environments. |
| INAI 6500 | Machine Learning | An in-depth investigation of the theories, methods, and techniques of various machine learning models. Topics include how artificial intelligence differs from programming; supervised and unsupervised learning models and techniques; validation strategies; data preparation and imputation; organizational, ethical and leadership applications and challenges. |
| INAI 6510 | Data Visualization | Using large-data analytics tools to develop visual representation of high-dimensionality data to communicate results, predictive, and prescriptive data to management and decision makers. Theory of various visualization techniques, identifying and correcting misleading visuals, documenting and communicating results. MS PowerBI will be used as a platform for exercises. |
| INAI 6520 | AI Strategy and Leadership | This course explores how organizations use AI for business transformation and strategic decision-making through real-world case studies. Students examine AI adoption frameworks, leadership strategies, and ethical deployment across industries. Topics include AI scaling, automation, competitive differentiation, and ROI, with case studies preparing students to lead technological change. |
| INAI 6986 | AI Capstone | Exploration and development of emerging AI technologies and a small team project identifying a problem for an external client organization, or a specific internal research project, to plan, execute, and complete an application of AI to address the problem or research question. Students will deliver the completed algorithm and supporting documentation to the client or researcher. |
Learn More
Quick Facts
College of Business
At AUM’s College of Business, you will have powerful learning experiences, working side by side with professors who have real-world experience.
Our academic departments include the School of Accountancy, Department of Business Administration, and the Department of Information Systems.
Official Degree Name
Master of Science in Artificial Intelligence
David M. Simmonds
Assistant Professor
David M. Simmonds
Assistant Professor | College of Business
334-394-5528
[email protected]
Clement Hall, 329
Artificial Intelligence Research Laboratory, Management Information Systems
Modality
AUM’s M.S. in Artificial Intelligence offers flexible course formats—online, hybrid, and face-to-face—to support working professionals and recent graduates. While many courses can be completed online, select core courses include on-campus sessions that foster collaboration, hands-on learning, and strong connections with faculty and peers. Speak with your academic advisor to customize a schedule that fits your goals.
