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Arizona State University Ira A. Fulton Schools of Engineering 8 courses 30 total credits
The Master of Science program in artificial intelligence engineering with a concentration in software engineering combines advanced study in AI approaches with deep domain expertise in software engineering. The use of AI approaches, including machine learning, natural language processing, computer vision, robotics and pattern recognition is becoming widespread in many fields, including all engineering disciplines. Yet, the majority of engineering occupations require subject matter expertise beyond AI. You learn how to develop and customize relevant AI approaches to software engineering problems. A core curriculum in AI engineering foundations, AI systems and tools, AI ethics and social responsibility and data collection and evaluation for AI systems is complemented by software engineering-specific courses to ensure breadth and depth in AI and in software engineering.
| 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
| Code | Course Title | Credits |
|---|---|---|
| SER 501 | Advanced Data Structures and Algorithms | 3 |
| SER 502 | Emerging Languages and Programming Paradigms | 3 |
| SER 515 | Foundations of Software Engineering | 3 |
| SER 531 | Semantic Web Engineering | 3 |
| SER 541 | Data Science for Software Engineers | 3 |
| Total Concentration | 9 credits | |
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| SER 517 | Software Factory Capstone | 3 |
| SER 599 | Thesis | 6 |
Additional Curriculum Information
For concentration coursework, students select three courses from the list. Students should see their program advisor for a complete list of approved courses.
Click a course code or title to read the full course description.
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