Arizona State University Ira A. Fulton Schools of Engineering 6 courses 30 total credits
Earn a master's in computer science with a concentration in artificial intelligence from ASU to build skills in AI theory, machine learning and intelligent systems.
| Required Core Areas | 9 credits |
| Concentration | 12 credits |
| Electives | 9 credits |
| Required Core Areas | 9 credits |
| Concentration | 12 credits |
| Total Credits | 30 credits |
Required Core Areas
applications (3) foundations (3) systems (3)
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CSE 571 | Artificial Intelligence | 3 |
| CSE 574 | Planning and Learning Methods in AI | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 576 | Topics in Natural Language Processing | 3 |
| Total Concentration | 12 credits | |
Electives
Required Core Areas
applications (3) foundations (3) systems (3)
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CSE 571 | Artificial Intelligence | 3 |
| CSE 574 | Planning and Learning Methods in AI | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 576 | Topics in Natural Language Processing | 3 |
| Total Concentration | 12 credits | |
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| CSE 593 | Applied Project | 3 |
| CSE 599 | Thesis | 6 |
Additional Curriculum Information
This master's degree offers a course-based option. Students should see the academic unit for the list of courses approved for each core area in applications, foundations and systems. Courses that are used to satisfy the concentration requirement on the plan of study cannot be used to satisfy the core requirement. Additionally, courses selected as part of the core or concentration may not be used as other elective coursework on the same plan of study. A course-based master's program is best suited for students who want to deepen their knowledge and advance their professional skills through structured coursework rather than independent research. Students may complete a thesis or an applied project as an optional culminating experience. Students who enjoy solving real-world problems and applying practical skills in professional settings may be drawn to the applied project option. Students with a strong interest in research and a desire to contribute original knowledge to their field may be well-suited for the thesis option. Students who select the applied project as their culminating experience must complete their project at the direction of an approved computer science graduate faculty member and complete the project course with a "B" grade or higher. Students complete a minimum of 30 credit hours for the program. At least 24 of these credit hours must be 500-level CSE courses at ASU. Up to six credit hours of 400-level courses may be applied to the plan of study for the nonthesis options.
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