Information Systems and Artificial Intelligence for Business (Part Time), Master of Science | Johns Hopkins University Academic Catalogue

The part-time Master of Science in Information Systems and Artificial Intelligence for Business (ISAI) program offers a dynamic, AI-driven curriculum that integrates business, technology, and human behavior. Designed to meet the growing demand for AI leadership, the program equips students with expertise in Machine Learning, Generative AI, Agentic AI, Responsible AI, and AI Management and Governance, while emphasizing real-world business applications. Graduates gain the technical, managerial, and strategic skills needed to lead AI-enabled transformation across industries.

Complete the part-time program through a blend of online courses and two in-person residencies, balancing flexibility with meaningful opportunities for collaboration, networking, and immersive learning.

Program Requirements

The program requires 30 credits. Part-time students must complete the program within six years.

Students enrolled in the online ISAI program are required to take the Business Communication course. Asynchronous online sections of this course have a mandatory two-day residency component, which includes synchronous participation. Onsite residencies are held at the Hopkins Bloomberg Center in Washington D.C.

Curriculum

The 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.

Course List
Code	Title	Credits
Business Foundations
BU.120.601	Business Communication ¹	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.330.735	Responsible AI	2
BU.330.705	Cyber Networks: Securing the Digital Frontiers	2
BU.350.620	AI and Digital Strategy	2
BU.330.775	Machine Learning: Design and Deployment	2
Elective Courses
Select seven of the following:		14
BU.330.740	Large Scale Computing on the Cloud
BU.330.755	Digital Health and AI-enabled Device Regulation in the U.S.
BU.520.750	AI-Driven Sequential Decision Making
BU.210.620	Accounting and Financial Reporting
BU.520.620	Advanced Business Analytics
BU.330.785	Advanced Database Management
BU.330.750	AI Development and Business Applications
BU.520.601	Business Analytics
BU.610.705	Crisis Management
BU.330.745	Cybersecurity and Privacy in Healthcare
BU.510.650	Data Analytics
BU.330.780	Data Science and Business Intelligence
BU.520.650	Data Visualization
BU.330.770	Database Management
BU.300.700	Developing Internet Systems and Services
BU.330.760	Generative AI
BU.883.702	Health Information Technology
BU.330.765	AI-Human Management
BU.350.700	Introduction to Java for Business
BU.350.785	Managing AI in the Healthcare Ecosystem
BU.300.620	Managing Complex Projects
BU.330.730	Managing Cybersecurity in the Age of AI
BU.410.620	Marketing Management
BU.510.615	Python for Data Analysis
BU.610.615	Simulation for Business Applications
Carey Elective - Students may fulfill ONE general elective with a Carey course for which they meet the prerequisites and enrollment criteria.
Total Credits		30

¹: Asynchronous online sections of this course have a mandatory two-day residency component, requiring real time, synchronous participation. Onsite residencies are held at the Carey Business School's Harbor East campus in Baltimore, MD.