Master of Management AI Specialization

Master AI-Driven Management

IT'S YOUR TIME to revolutionize. 

Excited to lead in a world where AI is reshaping every industry? A Master of Management with a specialization in AI at Aquinas College equips you to lead with integrity, purpose, and vision.

This program gives you the strategic tools to make ethical, values-driven decisions with AI and to guide your organization through meaningful change. You’ll learn to identify AI opportunities, understand potential risks, and lead teams in ways that reflect both excellence and social responsibility.

 

What is a Master of Management specialization in Artificial Intelligence?

For aspiring business leaders, a Master of Management with a specialization in Artificial Intelligence AI opens up a world of possibilities in fostering innovation, enhancing operational efficiency, and making data-driven decisions that transform organizations. 

AI has become a strategic imperative, empowering organizations to extract meaningful insights from data that inform complex decision-making. By mastering AI technologies and their practical business applications, graduates will be poised to bridge the gap between technical teams and business stakeholders, ensuring successful AI adoption and implementation. 

 

What are the course requirements? 

You will learn to critically assess AI solutions, manage AI projects ethically, and stay ahead in a rapidly evolving field. To complete your Master of Management with an AI specialization, you will need to take three of the following four courses in addition to the 10 core management courses:

Generative AI for Managers

Generative AI is transforming business productivity, making it essential for managers to adapt or risk falling behind competitors who leverage its power. This course prepares students to make a real impact in any field with GenAI, teaching practical skills like prompt engineering, AI workflow integration, and solution development. Youʼll also dive into ethical concerns and explore future trends, equipping you to lead with innovation and insight.

Business Use Cases for AI

Just as you wouldnʼt apply a financial model to drive a marketing campaign, each business challenge calls for specific AI tools. In this course, youʼll learn to assess AI technologies, recognize the right business problems for AI solutions, and create effective implementation strategies. By the end, youʼll be equipped to tackle key challenges and design impactful AI-driven solutions.

AI Governance and Ethics

AI brings transformative possibilities but also raises critical ethical challenges, from data privacy and bias to transparency and the role of human oversight. Navigating AI governance is crucial for any manager looking to implement this technology responsibly. In this course, youʼll learn to develop ethical AI policies, manage AI-related risks, and effectively communicate governance standards to stakeholders.

Managing AI Projects

AI projects enable businesses to forecast trends and optimize operations, providing insights into not only past events but also future actions. By the end of this course, youʼll be equipped to create real financial and operational impact by managing the complete AI project lifecycle—from crafting project plans and handling data to ensuring smooth deployment and reporting outcomes to stakeholders.

 

What makes this program special?

Online-First Learning: This program is built to ensure its online classes do not merely recreate the in-person experience but truly leverage the strengths of online learning. Students can enjoy the flexibility of remote coursework and engage with students at other leading institutions, bolstering their professional networks for the future.

Accessible AI Literacy: Students build a solid foundation in AI and low-code tools, enabling them to understand and manage AI projects without needing advanced coding skills. This program is inclusive of all backgrounds.

 

Are there jobs in AI? 

Yes! AI career opportunities are expanding rapidly. Job postings have grown sevenfold since 2012, and professionals with AI skills earn, on average, a 25% higher wage premium.

AI/ML Consultant - $164,000 (With Experience) 

An AI/ML consultant advises businesses on how to effectively integrate artificial intelligence and machine learning to enhance efficiency, solve complex problems, and drive innovation. They assess organizational needs, recommend tailored AI/ML solutions, and guide the implementation to ensure effective results.

AI/ML Product Manager - $238,000 (With Experience) 

An AI/ML product manager oversees the development and deployment of AI-driven products, aligning them with business goals and user needs. They work closely with data scientists, engineers, and stakeholders to prioritize features, ensure product usability, and drive the strategic vision for AI/ML initiatives.

AI Strategy Manager - $246,000 (With Experience) 

An AI/ML Strategy Manager defines and drives the overarching strategy for implementing AI and machine learning within an organization to meet business objectives. They identify high-impact opportunities, align AI initiatives with company goals, and work across teams to ensure seamless integration and long-term value from AI investments.

Chief AI Officer - $343,000 (With Experience) 

A Chief AI Officer leads an organizationʼs AI vision and strategy, driving the adoption and integration of AI technologies to create a competitive advantage. They oversee AI initiatives across departments, ensuring alignment with business objectives and fostering a culture of innovation to maximize the value and ethical use of AI throughout the organization.

 

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