The Master of Science in Information Systems and Artificial Intelligence for Business (ISAI) program focuses heavily on AI, offering a comprehensive AI curriculum that equips students with critical thinking and problem-solving abilities. The immersive program addresses the evolving demands and trends of the AI, and covers topics like machine learning, deep learning, generative AI, responsible AI, human-AI fusion, and AI development and business applications. In a rapidly evolving business world driven by the unprecedented pace of AI advancements, you will graduate with the specialized skills in AI technology and management needed to become a stronger leader and stay ahead of the competition.
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.350.620 | Digital Transformation of Business | 2 |
| BU.330.740 | Large Scale Computing on the Cloud | 2 |
| BU.330.775 | Machine Learning: Design and Deployment | 2 |
| STEM Courses | ||
| BU.520.601 | Business Analytics | 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 | ||
| Advanced Business Analytics | ||
| Advanced Database Management | ||
| AI-Driven Sequential Decision Making | ||
| AI Development and Business Applications | ||
| Crisis Management | ||
| Cybersecurity and Data Vulnerabilities | ||
| Data Analytics | ||
| Data Science and Business Intelligence | ||
| Data Visualization | ||
| Database Management | ||
| Developing Internet Systems and Services | ||
| Forecasting Models for Business Intelligence | ||
| Health Information Technology | ||
| Human-AI Fusion | ||
| Introduction to Java for Business | ||
| IT and Global Sourcing Strategy | ||
| IT Consulting Lab Practicum | ||
| Managing Complex Projects | ||
| Marketing Management | ||
| Operations Management | ||
| Python for Data Analysis | ||
| Responsible AI | ||
| 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 | |