The Master of Science in Information Systems and Artificial Intelligence for Business (ISAI) program delivers a comprehensive, AI-focused curriculum designed to develop the technical, analytical, and strategic skills needed to lead in an AI-driven world. Through an immersive learning experience, students explore emerging technologies and their business applications while strengthening their critical thinking and problem-solving abilities.
The program addresses the rapidly evolving landscape of artificial intelligence, covering topics such as Machine Learning, Deep Learning, Generative AI, Agentic AI, Responsible AI, Human-AI Fusion, AI Management and Governance, and AI Development and Business Applications. Graduates leave with a strong foundation in both AI technologies and their strategic application, preparing them to drive innovation, lead AI-enabled transformation, and create value across diverse industries and organizational settings in an increasingly competitive global marketplace.
International students in F-1 status who complete this program and obtain post-completion Optional Practical Training (OPT) may be eligible for the STEM OPT Extension. Students should consult the Office of International Services if they have questions about this benefit.
Program Requirements
The program requires 36 credits. Full-time MS students must complete the program in three semesters: fall, spring, and summer. Course waivers are not granted.
Curriculum
The ISAI program curriculum includes the following courses. The course sequence and availability of specific electives may vary. Students must consult with their academic advisor to ensure they take courses in the approved sequence. All courses are 2 credits.
| Code | Title | Credits |
|---|---|---|
| Business Foundations | ||
| BU.120.601 | Business Communication | 2 |
| BU.131.601 | Business Leadership and Human Values | 2 |
| BU.510.601 | Statistical Analysis | 2 |
| Functional Core | ||
| BU.520.710 | AI Essentials for Business | 2 |
| BU.330.705 | Cyber Networks: Securing the Digital Frontiers | 2 |
| BU.330.735 | Responsible AI | 2 |
| BU.350.620 | AI and Digital Strategy | 2 |
| BU.330.775 | Machine Learning: Design and Deployment | 2 |
| STEM Courses | ||
| BU.330.740 | Large Scale Computing on the Cloud | 2 |
| BU.330.770 | Database Management | 2 |
| BU.330.760 | Generative AI | 2 |
| Elective Courses | ||
| Select seven of the following: | 14 | |
| Accounting and Financial Reporting | ||
| Cryptos and Blockchain | ||
| Digital Health and AI-enabled Device Regulation in the U.S. | ||
| Advanced Business Analytics | ||
| Advanced Database Management | ||
| Agentic AI for Business | ||
| AI-Driven Sequential Decision Making | ||
| AI Development and Business Applications | ||
| Business Analytics | ||
| Crisis Management | ||
| Cybersecurity and Data Vulnerabilities | ||
| Cybersecurity and Privacy in Healthcare | ||
| Data Analytics | ||
| Data Science and Business Intelligence | ||
| Data Visualization | ||
| Developing Internet Systems and Services | ||
| Forecasting Models for Business Intelligence | ||
| Health Information Technology | ||
| AI-Human Management | ||
| Introduction to Java for Business | ||
| IT Consulting Lab Practicum | ||
| Managing AI in the Healthcare Ecosystem | ||
| Managing Complex Projects | ||
| Marketing Management | ||
| Python for Data Analysis | ||
| Simulation for Business Applications | ||
| Social Media Analytics | ||
Carey Elective - Students may fulfill ONE general elective with a Carey course for which they meet the prerequisites and enrollment criteria. | ||
| Total Credits | 36 | |