Professional MBA in Artificial Intelligence

Master of Business Administration with a Concentration in Artificial Intelligence — Prepare for a Future Where 78% of Companies Use AI to Drive Growth and Innovation

The MBA in AI prepares you to lead in an AI-driven economy—where competitive advantage comes from translating emerging technologies into scalable business results. This concentration brings advanced AI concepts into the MBA core, giving you the breadth of a management degree and the depth to steward AI initiatives across functions.

Why MBA in AI at FAU

• Business-first approach: Master AI through the lens of product strategy, operations, marketing, finance, and economics—not just algorithms—so you can champion initiatives that matter to the business.
• Hands-on learning: Practice planning and governing AI projects, adapting commercial AI tools (including low-code/no-code), and producing reproducible, data-driven work.
• Cross-functional relevance: Electives span analytics, digital marketing, social & web data, accounting applications, economics, and finance—so you can tailor AI skills to your role and industry.
• Career-ready skills: Build capabilities in opportunity sizing, solution design, model deployment oversight, risk management, ethics, and change leadership.

The AI concentration is available to all MBA students enrolled in our Online MBA, Professional MBA, and Executive MBA programs.

The Artificial Intelligence Concentration: Students electing the Artificial Intelligence concentration complete the basic MBA core courses plus four specialized courses. The concentration requires two mandatory courses. Additionally, students must select two courses from the list of electives below.

Two Required Courses:

Managing Artificial Intelligence Product Development (ISM 6426) 3 credits
This course introduces students to the practical methodologies of managing the development cycle of artificial intelligence-based applications and services to enhance business success. By managing, designing and developing AI-native as well as adapting commercial applications that support low-code/no-code tools, the participants acquire the necessary knowledge to explore opportunities for automation using AI and to acquire applied knowledge of managing the AI product development and deployment.

Business Innovation with Artificial Intelligence (ISM 6427C) 3 credits
Students gain a business perspective of artificial intelligence (AI) and other emerging technologies as drivers of innovation in businesses. They learn how AI is used in practice across organizations and industries, how to plan, manage and maintain AI projects, and how to address the AI challenges and implications for the organization and society.

Elective Courses - select two

Advanced Accounting Applications of Data Analytics (ACG 6496) 3 credits
Data, data, data. It’s everywhere! Have you ever wondered how data analytics could analyze REAL auditing, forensic accounting and financial statement issues? If so, this is the class for you. Hands-on exercises combined with fundamental data concepts to put you ahead of the game. 

Introduction to Business Analytics and Big Data (ISM 6404) 3 credits
This course provides an understanding of the business intelligence and business analytics processes and techniques used in transforming data to knowledge and value in organizations. Students also develop skills in analyzing data using generally available tools, e.g., Excel.

Social Media and Web Analytics (ISM 6555) 3 credits
Covers concepts and techniques for retrieving, exploring, visualizing and analyzing social network and social media data, website usage and clickstream data. Students learn to use key metrics to assess goals and return on investment and perform social network analysis to identify important social actors, subgroups and network properties in social media.

Digital Marketing (MAR 6735) 3 credits
Applied exploration of digital marketing strategy and implementation, including website design, search engine optimization, online advertising, web analytics, email marketing, mobile marketing, social media marketing, content creation, and online reputation management. 

AI and Marketing – A Behavioral Science Perspective (MAR 6746) 3 credits
This course takes a behavioral science perspective, re. the impact of Artificial Intelligence (AI) on Marketing. It identifies behavioral and managerial insights that might help companies thrive in the age of AI. This is a non-technical course. No coding or data science skills are required. This is also a hands-on course, requiring substantial participation by way of creating custom GPTs, presentations on important AI-related topics, development of a lifelong AI-learning plan etc.

AI and Machine Learning for Economics and Business Decision-Making (ECO 6445) 3 credits
This course explores how big data, artificial intelligence (AI), and machine learning (ML) are transforming economics and business decision-making. Students will learn how economics provides a framework for applying these tools in business decision-making and policy analysis, while gaining hands-on experience with AI tools such as ChatGPT and software like Stata to produce reproducible, project-based work. By the end of the course, students will be prepared to apply economic reasoning and data-driven tools to strengthen decision-making in today’s technology-driven business environment.