For more than 140 years, Johns Hopkins University research and initiatives have helped society navigate uncertain times. This legacy underpins the full-time Master of Science in Business Analytics and Artificial Intelligence. With a curriculum focused on machine learning and artificial intelligence, you will gain the AI technical and leadership skills to translate business problems to analytical problems in order to make smart, informed decisions, and manage and lead businesses in the age of AI.
- Gain the tools and knowledge to analyze data, improve decision making in business strategy, and lead in volatile environments.
- Take advantage of being in the governmental and political epicenter of the U.S. at our Washington D.C. location.
- Complete your degree in as little as one year and harness the skills taught in the classroom to take a professional leap forward.
- Translate business problems to analytics problems and utilize artificial intelligence methodologies to develop business solutions.
- Leverage the resources, reputation, and expert faculty at Johns Hopkins, as we are becoming the leading university center for analytics and data science.
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 3 semesters: fall, spring, and summer. Course waivers are not granted in this program.
Curriculum
The MS in Business Analytics and Artificial Intelligence 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.520.601 | Business Analytics | 2 |
| BU.510.650 | Data Analytics | 2 |
| BU.520.650 | Data Visualization | 2 |
| BU.680.620 | Operations Management | 2 |
| STEM Courses | ||
| BU.520.620 | Advanced Business Analytics | 2 |
| BU.520.690 | Analytics Consulting Project | 2 |
| BU.520.775 | Practical Machine Learning | 2 |
| BU.510.615 | Python for Data Analysis | 2 |
| Elective Courses | ||
| Students must complete 7 elective courses. At least 4 of these courses must be from the Quantitative Electives section. | ||
| Quantitative Electives | 8 | |
| Select at least four of the following: | ||
| Advanced Database Management | ||
| AI-Driven Sequential Decision Making | ||
| AI Essentials for Business | ||
| AI in Marketing | ||
| Continuous Time Finance | ||
| Customer Analytics | ||
| Data Science and Business Intelligence | ||
| Database Management | ||
| Financial Decisions and Investment Analysis | ||
| Forecasting Models for Business Intelligence | ||
| Generative AI | ||
| Large Scale Computing on the Cloud | ||
| Retail Analytics | ||
| Simulation for Business Applications | ||
| Supply Chain Analytics | ||
| Sustainable Supply Chains | ||
| General Electives | 6 | |
| Corporate Finance | ||
| Corporate Governance | ||
| Crisis Management | ||
| Enterprise Risk Management Frameworks | ||
| Financial Crises and Contagion | ||
| Managing Complex Projects | ||
| Managing Financial Risk | ||
| Marketing Management | ||
| Responsible AI | ||
Carey Elective - Students may fulfill ONE general elective with a Carey course for which they meet the prerequisites and enrollment criteria. | ||
| Total Credits | 36 | |