Arizona State University Ira A. Fulton Schools of Engineering 9 courses 30 total credits
Gain skills needed to implement AI in human-centered systems with ASU's artificial intelligence engineering degree, MS, with a concentration in human-centered artificial intelligence.
| Required Core | 3 credits |
| AI Engineering Foundations | 3 credits |
| AI Systems and Tools | 3 credits |
| Data Collection and Evaluation for AI Systems | 3 credits |
| Concentration | 6 credits |
| Other Requirements | 3 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| FSE 561 | Artificial Intelligence Ethics and Social Responsibility | 3 |
| Total Required Core | 3 credits | |
AI Engineering Foundations
AI Systems and Tools
Data Collection and Evaluation for AI Systems
Concentration
Students select one additional course:
| Code | Course Title | Credits |
|---|---|---|
| HSE 524 | Human Automation Interaction | 3 |
| HSE 530 | Intermediate Statistics for Human Systems Engineering | 3 |
| HSE 540 | Foundations of Applied Cognitive Science | 3 |
| HSE 542 | Foundations of Human Systems Engineering | 3 |
| OMT 548 | Statistical Methods for Research | 3 |
| TEM 530 | Statistics Bootcamp for Industry | 3 |
| Total Concentration | 6 credits | |
Other Requirements
Culminating Experience (0, 3 or 6 credit hours)
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| HSE 593 | Applied Project | 3 |
| HSE 599 | Thesis | 6 |
Additional Curriculum Information
Students should see their program advisor for a complete list of approved courses.
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