Artificial Intelligence Secondary Concentration
This secondary concentration in artificial intelligence is designed to equip M.B.A. students with the knowledge and tools to lead and implement AI-driven transformation across business functions. The curriculum offers a well-rounded blend of technical foundations and ethical considerations. Students have the opportunity to explore deeper technical topics such as large language models (LLMs), agentic AI, and blockchain, or focus on application areas including AI-driven investment analysis, strategic decision-making, and data-driven marketing decisions. Whether pursuing a technical path or applying AI in specific business domains, this concentration will empower future leaders in business, industry, and government to harness the potential of AI in shaping the future of work and innovation.
To earn the artificial intelligence secondary concentration, students must take at least three (3) courses from the following list.
| Course | Title | Credits |
|---|---|---|
| Choose at least two (2) of the following: | 6 | |
| Artificial Intelligence | ||
| Machine Learning for Business 1 | ||
| Quantitative Foundations for AI | ||
| Law and Ethics of AI | ||
| Choose one (1) additional course, either from the courses above, or from the list of elective options 2 | 3 | |
| Total Credits | 9 | |
- 1
This course requires Python programming. Students with no prior Python programming background, but who wish to to take this course, can take AIGB 6201 Python for AI Bootcamp , which is offered online.
- 2
Some elective courses (such as AIGB 7291 Cloud Computing for Analytics, AIGB 7292 NLP and Applications, AIGB 7294 Large Language Models and Generative AI, AIGB 7290 Deep Learning, AIGB 7240 Computational Finance, AIGB 7241 Machine Learning for Finance, AIGB 7243 Investment Analysis with Data Visualization and Gen AI, AIGB 7244 Artificial Intelligence in Asset Management, and AIGB 724B Advanced Machine Learning) require Python programming.
Students with no prior Python programming background, but who wish to to take one or more of these courses, can take AIGB 6201 Python for AI Bootcamp , which is offered online.
Electives
Courses in this group have the AICE attribute.
| Course | Title | Credits |
|---|---|---|
| AIGB 7240 | Computational Finance | 3 |
| AIGB 7241 | Machine Learning for Finance | 3 |
| AIGB 7242 | Fintech and Disruption in the Finance Industry | 3 |
| AIGB 7243 | Investment Analysis with Data Visualization and Gen AI | 3 |
| AIGB 7244 | Artificial Intelligence in Asset Management | 3 |
| AIGB 724B | Advanced Machine Learning | 3 |
| AIGB 724C | Machine Learning and LLMs | 3 |
| AIGB 7263 | Blockchain: Industry Disruptor and Creator | 3 |
| AIGB 7290 | Deep Learning | 3 |
| AIGB 7291 | Cloud Computing for Analytics | 3 |
| AIGB 7292 | NLP and Applications | 3 |
| AIGB 7293 | Data Visualization | 3 |
| AIGB 7294 | Large Language Models and Generative AI | 3 |
| AIGB 7295 | Robotic Process Automation | 3 |
| AIGB 7297 | Data Management with SQL | 3 |
| MKGB 7760 | Marketing Technology and Innovation | 3 |
| MKGB 7792 | New Product Development | 3 |
| MKGB 779I | Data-Driven Marketing Decisions | 3 |