Arizona State University Ira A. Fulton Schools of Engineering 21 courses 30 total credits
Earn a data science, analytics and engineering degree with a concentration in Bayesian machine learning from ASU to build skills as a statistician or data scientist.
| 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 |
|---|---|---|
| STP 502 | Theory of Statistics II: Inference | 3 |
| STP 505 | Bayesian Statistics | 3 |
| STP 540 | Computational Statistics | 3 |
| STP 551 | Time Series Analysis | 3 |
| Total Concentration | 9 credits | |
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| FSE 570 | Data Science Capstone | 3 |
| STP 599 | Thesis | 6 |
Additional Curriculum Information
For concentration coursework, students select three courses from the list. Students should consult the academic unit for a list of approved electives. Courses selected for the required core or concentration may not be used as elective coursework on the same plan of study.
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