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Degrees and Certificates
Artificial Intelligence – MS
Your Future. LIMITLESS.
College of Business
Masters in Artificial Intelligence (MSAI Program)
16 Months
30 Credit Hours
$483 per Credit (in-state)
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?
Frequently Asked Questions
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.
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Curriculum Details
30 total credit hours required
Learn valuable skills to help advance your career with an online Master of Science in Applied Economics degree from Auburn University at Montgomery. This 10-course program can be completed in as few as three semesters, and our expert faculty will give you personal attention across meetings, classes, and research opportunities.
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.
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.
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.
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.
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.
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.
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.
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.
Contacts
David M. Simmonds
Assistant Professor
David M. Simmonds
Assistant Professor | College of Business
334-394-5528
dsimmond@aum.edu
Clement Hall, 329
Artificial Intelligence Research Laboratory, Management Information Systems
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.
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.
