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Artificial Intelligence in Business Graduate Academic Certificate
Graduate Academic Certification (G.A.C.)
Program type:
Graduate Academic Certificate
Format:
On Campus
Est. time to complete:
1-2 semesters
Credit Hours:
12
UNT Prepares You to Lead in the AI-Driven Workplace
The Graduate Academic Certificate in Artificial Intelligence in Business at the University
of North Texas equips professionals and graduate students with specialized expertise
in applying AI to organizational challenges. The program emphasizes responsible AI
design, governance, and risk management, while building practical skills in business
case development, design thinking, and solution prototyping. Participants gain a strong
foundation in AI technologies and applications, together with insight into their ethical,
social, and strategic impacts. Graduates are prepared to help organizations harness
AI for innovation, competitive advantage, and sustainable growth.
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Request More InfoWhy Earn a Certificate in Artificial Intelligence?
Learn how to leverage AI for innovation, competitive advantage, and sustainable growth.
Gain hands-on experience in AI solution design, business case development, and prototyping.
Opens doors in consulting, management, analytics, product development, and strategy
roles. It’s a fast-track credential for professionals who want to lead the adoption
of AI in business while balancing ethics, strategy, and innovation.
Marketable Skills
As a part of the G.A.C. in Artificial Intelligence, students learn:
- Effective business collaboration
- Sustainability practices
- Business case development
- Solution prototyping
- Leadership ability
Artificial Intelligence in Business Graduate Academic Certificate 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 Graduate Academic Certificate?
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 in Business Graduate Academic Certificate Courses You Could Take
BCIS 5140 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.
BCIS 5160 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.
BCIS 5170 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.
CSCE 5215 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.
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