MS in AI for Business Curriculum

A concentration tailored to your interests

Olin’s AI for Business degree is not simply a broad, shallow look at the explosive growth of AI. On the contrary, we’ve created three custom concentrations that can assist with strategic decision-making in specific business applications.

All concentrations include foundational courses about vital tools and concepts (including Introduction to Python and Data Science, Generative Artificial Intelligence, and Deep Learning for Prediction of Business Outcomes).

In addition, each concentration adds a tightly focused set of courses building on key AI applications, that will vary based on students’ interests as well as previous business experience.

Finance

From algorithmic trading and risk assessment to market forecasting and predictive models, AI is remaking the world of finance. Demand is particularly strong for AI-skilled financial analysts and risk analysts.

Sample courses include:

• Advanced AI in Finance

• Financial Technology — Methods and Practice

• Seminar in AI-Driven Finance

Marketing

As marketing transforms into a data-driven function,  AI is accelerating and reshaping this transformation. Large language models (LLMs) are being used from idea to execution in new product development at pharmaceutical companies such as Merck and Pfizer. Deep-learning algorithms power pricing and product recommendations at Amazon and Netflix, and predict potential customer churn at Capital One and Wells Fargo. In the modern economy, AI tools are indispensable for marketing analysts, advertisers, and marketing researchers, as well as brand managers and product managers across industries.

Sample courses include:

• Analytics-Driven Brand Management

• AI-Driven Customer Analytics

• A/B Testing in Business and Social Science

Technical

Every business sector is increasingly dependent on AI for a range of applications. The AI for Business technical concentration is designed for students who already have a business education or work experience and are looking to upskill themselves for new AI-driven expectations. Demand for these skills exists across many traditional business roles as well as new ones being continuously created in the AI-driven business marketplace, such as prompt engineers, AI compliance officers, and human-AI interaction designers.

Sample courses include:

• Ethics and Responsible AI in Business

• Business-Driven Explainable AI

• Data Visualization for Business Insights

Required Courses for all Concentration

Total Credits: 30

• Agentic AI: Autonomous Decision-Making

• Machine Learning Tools for Prediction of Business Outcomes

• Generative Artificial Intelligence

• Deep Learning for Prediction of Business Outcomes

• AI-Driven Causal Inference with Observational Data

Please note: Additional required courses and elective options will vary by concentration.