Discover UFred's Artificial Intelligence (AI) Leadership Specialty MBA Stream

UFred offers several specialty streams for MBA students, including a focus on AI leadership.

Artificial Intelligence (AI) is transforming the way businesses operate. At the University of Fredericton, the Artificial Intelligence Leadership specialty stream, whether taken as part of your MBA or EMBA, offers courses to teach you the management components and techniques required to implement, scale, and effectively use AI solutions.

In addition, you'll learn relevant industry regulations, how to manage people, processes, and the technological aspects of AI — all while understanding the organizational and change management aspects as part of the discipline.

Students will gain practical experience through applied learning.

Starting the AI leadership stream at UFred

After completing your foundational courses as part of your MBA or EMBA program, you'll start your Artificial Intelligence Leadership specialty stream.

This stream includes three courses:

• Artificial Intelligence: Fundamentals, Ethics, and the Role of Leadership in Organizations
• Managing AI Development and Infrastructure, and
• Policies, Procedures and Processes to Manage Artificial Intelligence

These courses will follow a similar format as the foundational courses — they'll include one virtual class a week, taking place between Monday and Thursday, typically lasting 1.5 — 2 hours.

The courses are designed to offer practical applications of theoretical knowledge, so you'll know how to apply your skills to real-world scenarios. Let's take a quick look at the AI courses you'll take.

Artificial Intelligence: Fundamentals, Ethics, and the Role

In this course, students will learn to describe and explain the fundamental concepts in AI (e.g., machine learning, deep learning, neural networks, etc.) and the role AI plays in business functioning and decision-making — both in the short and long terms.

Then, using actual case studies, examples, and applications of AI, the participants will work on identifying business opportunities where AI could be applied.

Finally, they will learn the systematic framework and structured approaches for developing, designing, and implementing AI projects to solve specific business problems.

Managing AI Development and Infrastructure

The objective of this course is to introduce students to three fundamental areas of AI development for business applications.

With a focus on developing scalable AI products, the course explores how leaders can effectively deploy robust server infrastructure, data pipelines, and front/backend applications. AI applications rely primarily on bottom-down programming methodologies to truly render models that learn over time with supervised or unsupervised models.

Policies, Procedures, and Processes to Manage Artificial Intelligence

This course is designed to assist leaders with strategically planning their organization's growth and efficiency through AI.

Whether an organization is developing AI products or integrating third-party AI applications into their operations, leaders must adhere to a set of standards. With the recent legislative discussions around the Artificial Intelligence and Data Act, there is increasing attention on governance and controls around AI.

This course introduces leaders to the key standards in this field of knowledge and adopts a series of playbooks to support them in their strategic planning.

Not convinced the AI specialty stream is right for you? Explore other specialty streams on the UFred webiste, and design your perfect MBA.