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Artificial Intelligence M.B.A.
Master of Business Administration (M.B.A.)
Program type:
Grad Track
Format:
Online
Est. time to complete:
2 years
Credit Hours:
36
Where business meets AI—build ethical, innovative solutions that drive real impact.
The MBA in Artificial Intelligence blends the core strength of a traditional MBA with
deep, practical AI expertise. Designed for working professionals and full-time students
alike, the program builds leaders who can navigate and shape an AI-driven world. With
a curriculum grounded in responsible AI, governance, and risk management, students
also develop hands-on skills in business case development, design thinking, and prototyping.
Graduates leave ready to turn emerging technologies into smart strategy, ethical innovation,
and sustainable growth, meeting rising demand for professionals who can bridge business
leadership with cutting-edge AI insight.
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Request More InfoWhy Earn a Degree in Artificial Intelligence?
The MBA in Artificial Intelligence combines the breadth of a traditional MBA with
a specialized focus on Artificial Intelligence. Designed to provide both a strong
conceptual foundation and advanced managerial skills, the program equips students
to lead in today’s AI-driven business environment.
Students may pursue the MBA on a full-time of part-time basis, allowing for flexibility to fit professional and personal schedules. The curriculum emphasizes responsible AI design, governance, and risk management, while also building practical skills in business case development, design thinking, and solution prototyping.
Graduates gain a comprehensive understanding of AI technologies and applications, together with insight into their ethical, social, and strategic implications. With these skills, they are prepared to help organizations harness AIL for innovation, competitive advantage, and sustainable growth. Career opportunities for MBA-AI graduates are abundant across industries, reflecting the increasing demand for professionals who can ridge strategy with cutting-edge AL expertise.
Students may pursue the MBA on a full-time of part-time basis, allowing for flexibility to fit professional and personal schedules. The curriculum emphasizes responsible AI design, governance, and risk management, while also building practical skills in business case development, design thinking, and solution prototyping.
Graduates gain a comprehensive understanding of AI technologies and applications, together with insight into their ethical, social, and strategic implications. With these skills, they are prepared to help organizations harness AIL for innovation, competitive advantage, and sustainable growth. Career opportunities for MBA-AI graduates are abundant across industries, reflecting the increasing demand for professionals who can ridge strategy with cutting-edge AL expertise.
Marketable Skills
As a part of the M.B.A. in Artificial Intelligence, students learn:
- Effective business collaboration
- Sustainability practices
- Business case development
- Solution prototyping
- Leadership ability
Artificial Intelligence M.B.A. Highlights
More than 700 companies have offered paid internships over the past three years to
UNT business students.
Corporate and academic partnerships with companies like Fidelity Investments, CitiBank,
PepsiCo, State Farm, Dell, Google Cloud and more.
UNT’s location opens up a wealth of career, networking and internship opportunities.
UNT is 40 miles north of the Dallas-Fort Worth area, home to the nation’s fourth largest
concentration of Fortune 500 companies.
UNT's G. Brint Ryan College of Business is accredited by AACSB International — The
Association to Advance Collegiate Schools of Business, which means it meets or exceeds
strict academic standards for excellence in education.
Online courses allow you to combine coursework with full-time or part-time employment.
The ITDS department has 26 research and teaching faculty whose mission is to conduct
cutting edge research and prepare the next generation of information systems, management
science, and business analytics professionals.
What Can You do With an Artificial Intelligence Degree?
Our graduates pursue careers in both private and public companies. They have strong oral and written communication skills and serve as leaders in their organizations assisting in making strategic business decisions.
In the artificial intelligence profession, you can pursue careers including:
- AI Engineer Prompt Engineer
- AI Ethics and Governance
- AI Product Manager
- Machine Learning (ML) Engineer
- Data Scientist
- AI Research Scientist
- Robotics Engineer
- Natural Language Processing (NLP) Engineer
- Computer Vision Engineer
Artificial Intelligence M.B.A. Courses You Could Take
Seminar in Ethics and Social Responsibility (3 hrs)
Examines the strategic purposes of the firm as both an economic and social entity
within the global marketplace. Topics include: ethics in business and ethical decision
making, corporate social responsibility and corporate citizenship, and stakeholder
management, including shareholders, employees, customers, the community, government,
and the environment.
AI Governance and Risk Management (3 hrs)
New Course! This course focuses on the regulatory, governance, ethical, and social
challenges associated with integrating AI capabilities into organizations, as well
as on established and emergent business practices around responsible AI design, deployment
and use, AI governance, and AI risk management.
Designing AI Solutions for Business (3 hrs)
New Course! This course focuses on the design, development, and deployment of AI solutions
in business, including developing a business case for an AI solution, understanding
business requirements, designing and prototyping a business AI solution following
industry best practices, applying design thinking principles, and incorporating established
and emerging AI capabilities into the organizational IT landscape.
Machine Learning (3 hrs)
The theory and process to create systems that learn directly from data to make predictions
and decisions. Topics include a wide variety of supervised learning methods, both
regression and classification, with an emphasis on those that perform well on large
feature sets. Ensemble methods are used to combine independent approaches efficiently.
Unsupervised and semi-supervised methods demonstrate the power of learning from data
without an explicit training target or goal. Reinforcement learning enables effective
reward-seeking behaviors in complex environments. The goal is to create models that
can make automated decisions from new data or make inferences on unlabeled data to
aid in understanding and future prediction models.
Emerging Information Technologies (3 hrs)
Examines various managerial and technical issues associated with the introduction
of new information technologies within the firm. Subjects include environmental scanning
for new IT developments, assessment of new IT and legal/ethical issues.
Artificial Intelligence in Business (3 hrs)
Offers an integrated perspective on the opportunities and challenges associated with
the introduction of artificial intelligence (AI) and machine learning capabilities
into business computer information systems. Topics include technical foundation of
AI, survey of current AI capabilities, AI applications in business, implications of
AI for business, and society and AI governance.
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