Arizona State University Ira A. Fulton Schools of Engineering 20 courses 30 total credits
Earn a data science, analytics and engineering degree with a concentration in human-centered applications from ASU to build skills in machine learning, data engineering and human systems.
| Required Core | 9 credits |
| Concentration | 9 credits |
| Total Credits | 30 credits |
Required Core
Students choose one: Students choose one: Students choose one:
Concentration
| Code | Course Title | Credits |
|---|---|---|
| HSE 520 | Methods and Tools in Applied Cognitive Science | 3 |
| HSE 530 | Intermediate Statistics for Human Systems Engineering | 3 |
| HSE 531 | Data Analytics: Modeling Human Subjects Data | 3 |
| HSE 542 | Foundations of Human Systems Engineering | 3 |
| Total Concentration | 9 credits | |
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| FSE 570 | Data Science Capstone | 3 |
| HSE 599 | Thesis | 6 |
Additional Curriculum Information
For concentration coursework, students select three courses for a total of nine credit hours. Courses selected for the required core or concentration may not be used as elective coursework on the same plan of study. Students should consult with their academic advisor to ensure that the total number of credit hours in their plan of study equals 30.
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