For more than 140 years, Johns Hopkins University research and initiatives have helped society navigate uncertain times. This legacy underpins the part-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 asynchronous and synchronous online course modalities, as well as opportunities to engage with peers and faculty during in-person residencies.
- Complete your degree in as little as two years 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.
Program Requirements
Curriculum
The curriculum for the Master of Science in Business Analytics and Artificial Intelligence program includes the following courses. Course sequence and availability of specific electives may vary. Students must consult with an academic advisor to ensure that 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 |
| Elective Courses | ||
| Students must complete 8 elective courses. At least 4 of these courses must be from the Quantitative Electives section. | ||
| Quantitative Electives | 8 | |
| Select at least four course of the following: | ||
| Advanced Business Analytics | ||
| Advanced Database Management | ||
| AI-Driven Sequential Decision Making | ||
| AI Essentials for Business | ||
| Continuous Time Finance | ||
| Customer Analytics | ||
| Data Science and Business Intelligence | ||
| Database Management | ||
| Forecasting Models for Business Intelligence | ||
| Generative AI | ||
| Health Analytics | ||
| Investments | ||
| Large Scale Computing on the Cloud | ||
| Retail Analytics | ||
| Simulation for Business Applications | ||
| Supply Chain Analytics | ||
| Sustainable Supply Chains | ||
| Python for Data Analysis | ||
| General Elective | 8 | |
| Corporate Governance | ||
| Crisis Management | ||
| Enterprise Risk Management Frameworks | ||
| Financial Crises and Contagion | ||
| Managing Complex Projects | ||
| Managing Financial Risk | ||
| Marketing Management | ||
| Power and Politics | ||
| Responsible AI | ||
One Global Immersion Course of choice | ||
Carey Elective - Carey Elective - Students may fulfill ONE general elective with a Carey course for which they meet the prerequisites and enrollment criteria. | ||
| Total Credits | 30 | |