Master of Science in Artificial Intelligence Management

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The Master of Science in Artificial Intelligence Management (MS AIM) empowers professionals to lead the future of AI-driven business. Designed for those who want to harness the power of large language models (LLMs) to solve real organizational challenges, this program blends technical insight with strategic, ethical, and managerial expertise.

Students learn to design responsible AI solutions, guide cross-functional teams and translate complex AI capabilities into meaningful business results. Through innovative coursework and real-world applications taught by leading Lindner faculty, graduates are prepared to lead, manage and accelerate AI transformation across industries.


Return on investment

Our Master of Science programs are routinely recognized for their exceptionally high value, return on investment and placement rates. We combine competitive tuition with high-impact career outcomes. Our graduates secure strong job placement and lucrative salaries in fields such as technology innovation, technology leadership, AI transformation and AI governance.

With direct access to Cincinnati’s Fortune 500 companies and thriving startup ecosystem, your return on investment begins from day one.


Experiential edge

Lindner MS AIM students gain more than classroom knowledge — they apply it in real time through hands-on, project-based learning From corporate projects with top employers to technology-focused case competitions and partnerships with Lindner’s Applied AI Lab and our nine centers and institutes. You'll graduate ready to solve complex challenges in the digital economy.

The program culminates with options to complete a capstone experience based in a real-world business case study:

  1. Case Studies in Business Analytics offers project-oriented experiences and learning through deploying and managing AI-based systems. 
  2. AI Strategy & Operational Transformation offers a case study approach using applications of AI in business to build problem-solving and analytical skills.

Curriculum

The MS AIM program’s interdisciplinary curriculum builds graduates who are proven AI collaborators and applicators of AI. Designed to prepare students for managerial and leadership roles in the dynamic field of Artificial Intelligence, the program primarily focuses on LLMs for solving business challenges.

The program consists of a total of 30 credits; 18 credits of core leaning and 12 credits where students may apply electives or a specialized Lindner graduate certificate to build upon their impact.

This interdisciplinary program emphasizes the development of a range of business skills to design, deploy, and manage AI-driven solutions and strategies that address real-world challenges. Students will gain an understanding of leveraging AI tools and technologies for improving business performance across various business domains. The program will offer a valuable core in AI with customizable certificates in areas such as information systems, business analytics, and data science.


Faculty

Headshot of Liwei Chen, PhD

Liwei Chen, PhD

Associate Professor of Operations, Business Analytics, and Information Systems

Headshot of Kris Jones

Kris Jones

Assistant Professor - Educator of Operations, Business Analytics, and Information Systems

Headshot of Tim Lucas, JD

Tim Lucas, JD

Adjunct Instructor of Operations, Business Analytics, and Information Systems

Headshot of Denise White, PhD

Denise White, PhD

Associate Professor - Educator of Operations, Business Analytics, and Information Systems


Contact Us

Headshot of Sachin Modi

Sachin Modi

Academic Director, MS AIM program; Department Head, Department of Operations, Business Analytics, and Information Systems