Applications for Fall 2026 will open May 1.

The new MBA in AI prepares leaders for a world where artificial intelligence defines competitive advantage. Gain the technical and architectural depth to redesign organizational workflows around AI and build an AI-powered enterprise. 

This program blends artificial intelligence expertise with business transformation, equipping you to manage, lead and innovate in the rapidly evolving field of AI, including developing and deploying AI-enabled business solutions and leading organizational change. This STEM-designated MBA will give you the strategy, skills, and leadership edge to turn innovation into impact.

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MBA in AI Program Advantages

  • This degree combines business management, finance, and marketing with advanced study of artificial intelligence in machine learning, computer vision, computational linguistics, data analytics and AI ethics.
  • Hybrid classes combine flexibility with in-person instruction and access to state-of-the-art research labs, while also meeting requirements for international students studying on an F-1 or J-1 visa. Courses run for seven weeks, often alternating between in-person and online sessions.  
  • Study part-time, completing the MBA in AI in as little as 18 months, or at your own pace.
  • Immerse yourself in a collaborative and engaging learning experience with expert faculty and classmates who are business professionals and managers in the private and public sectors.
  • Take advantage of Career Services, which offers resources and networking opportunities to support you throughout your career.
  • Participate in educational events offered through the Finance Innovation Research and Education (FIRE) Lab, allowing you to network with industry experts and learn to adapt to the evolving landscape of finance and technology.
  • You may simultaneously pursue another degree as part of the concurrent degree program.
  • Join a powerful network of more than 800,000 Penn State alumni globally.
  • GMAT/GRE scores are not required for admission.

MBA in AI Curriculum

The MBA in AI degree is a 33-credit interdisciplinary master’s program that prepares you for a career in the rapidly advancing field of artificial intelligence. Build your competitive edge in the job market as you learn to leverage AI for strategic decision-making, operational efficiency, and ethical and socially responsible AI.

The coursework equips you with leadership, managerial and financial expertise, and the technical proficiency needed to manage, lead and innovate in the evolving field of AI. Gain the soft skills necessary for professional success through experiential learning and active participation in real-world projects and team collaboration. 

In a culminating capstone project, you will collaborate with classmates to design, implement, and present a comprehensive AI solution tailored to a real-world organizational challenge. This experience allows you to synthesize your learning, apply AI methodologies in business contexts, and demonstrate your capabilities to potential employers or stakeholders. 

Graduate Certificates

Choose to pursue graduate certificates that demonstrate your new skills prior to earning your master’s degree:

  • Foundations of Artificial Intelligence - A 12-credit certificate covering AI disciplines, focusing on modeling, designing, developing, and testing data-centric AI systems.
  • Natural Language Processing - A 9-credit graduate certificate on the interaction between computers and human language.
  • Computer Vision - A 9-credit certificate on designing and applying machine-vision systems to interpret visual information and make decisions. 

Certificate earners are awarded a digital badge for each certificate they complete.

Learning Objectives

Upon completion of the MBA in AI program, our graduates will be able to:

  • Describe key business functions—marketing, finance, operations—and their integration with AI capabilities.
  • Critically evaluate emerging AI trends and their strategic implications for different industries, applying analytical frameworks.
  • Design data-informed strategic plans for new ventures or process innovations, employing frameworks.
  • Construct and manage financial models that incorporate AI-generated insights, leveraging techniques.
  • Apply ethical reasoning frameworks to assess societal impacts, ensuring AI solutions align with fairness, transparency, and accountability principles.
  • Produce clear, journal-ready manuscripts and technical reports conveying research context, methods, results, and implications, and including data sources, AI-related technologies, and evaluation metrics, suitable for replication and audit.
  • Become lifelong learners who reflect on emerging AI trends and tools, participate in seminars and workshops, and continuously update technical and professional competencies.