Arizona State University Ira A. Fulton Schools of Engineering 4 courses 30 total credits
Build machine learning, computer vision and AI ethics skills to apply in the manufacturing field in ASU's artificial intelligence engineering degree, MS, with a concentration in manufacturing.
| 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 | 9 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
MFG coursework (6)
| Code | Course Title | Credits |
|---|---|---|
| MFG 523 | Artificial Intelligence for Smart Manufacturing | 3 |
| Total Concentration | 9 credits | |
Culminating Experience (0, 3 or 6 credit hours)
portfolio (0)
| Code | Course Title | Credits |
|---|---|---|
| MFG 593 | Applied Project | 3 |
| MFG 599 | Thesis | 6 |
Additional Curriculum Information
Any additional core classes taken will be treated as electives. No class can be taken to satisfy both a core requirement and a concentration requirement. Additional electives are decided by the Graduate Program Committee.
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