MS in AI for Business

Fast, focused, and future-ready: AI for Business prepares you to thrive in the age of artificial intelligence.

Are you ready to meet the transformative challenges of AI? With 70% of global CEOs expecting artificial intelligence to reshape how they create value, WashU Olin’s Master of Science in AI for Business gives you the tools you need to thrive in this evolving landscape.

Olin has been leading in this space for more than a decade through our data-focused Master’s in Business Analytics. For a faster start to your new career, we’ve distilled our existing AI curriculum and added new AI-related content to create a highly focused, two-semester deep dive into how the latest technology is remaking workflows and capabilities.

Please note: Fall 2026 enrollment for MS in AI for Business is currently limited to domestic students. WashU Olin is in the process of securing the required government approvals to welcome international students to this program.

Core skills used to last 4 to 6 years. Now in an AI era, we are talking about skills rapidly changing and morphing every 18 months, 12 months.

—Pete Brown, global workforce leader, PwC UK

Learn to unleash AI’s potential from preeminent experts

WashU faculty have been leading the field in researching innovative uses of AI, as well as partnering with businesses to optimize operations and find new applications. They’ve crafted new course offerings that make the most of that expertise.

Explore their work:

Olin professor adds human dimension to algorithms for Amazon, Alibaba

At the intersection of machine-learning algorithms and human decision-making is where you’ll often find Dennis Zhang.

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AI tools cause a decline in freelance work and income–at least in the short run

Artificial intelligence tools such as ChatGPT and DALL-E are prompting uncertainty about the future employment landscape.

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ChatGPT can level the playing field for retail investors

Across industries, generative AI has unlocked powerful new capabilities to wider groups of users.

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Machine learning can help optimize medical resource sharing in a crisis

Addressing supply shortages in an organization can be like hitting a moving target—the problem may shift along with immediate supply and demand as the situation evolves.

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