Arizona State University The College of Liberal Arts and Sciences 11 courses 30 total credits
Data science professionals and applied statisticians use sophisticated statistical, computational and mathematical tools to extract patterns from large, complex and often unordered datasets. In the Master of Science program in applied statistics and data science, you prepare to conduct critical analysis in a variety of areas, such as industry, research and government. With a statistical and data science core consisting of statistical inference and classification, data mining, machine learning and associated computer methods, the program gives you a strong background in data-related skills that are useful in understanding and solving practical issues. GI Bill® benefitsThis new program is not yet approved for use with GI Bill® benefits. GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/.
| Required Core | 12 credits |
| Restricted Electives | 9 credits |
| Electives | 6 credits |
| Culminating Experience | 3 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| DAT 502 | Machine Learning for Data Science | 3 |
| DAT 531 | Industry Tools for Data Science | 3 |
| STP 530 | Applied Regression Analysis | 3 |
| STP 531 | Applied Analysis of Variance | 3 |
| Total Required Core | 12 credits | |
Restricted Electives
| Code | Course Title | Credits |
|---|---|---|
| APM 527 | Deep Neural Networks | 3 |
| DAT 528 | Advanced Deep Learning | 3 |
| DAT 535 | Exploration and Analysis of Environmental Data | 3 |
| STP 505 | Bayesian Statistics | 3 |
| STP 533 | Applied Multivariate Analysis | 3 |
| STP 551 | Time Series Analysis | 3 |
| Total Restricted Electives | 9 credits | |
Electives
Culminating Experience
| Code | Course Title | Credits |
|---|---|---|
| DAT 597 | Applied Statistics and Data Science Capstone | 3 |
| Total Culminating Experience | 3 credits | |
Additional Curriculum Information
For elective coursework, students complete six credit hours of additional statistics or data science courses, selected in consultation with the program advisor. These may be additional courses from the restricted electives list or other DAT or STP courses.
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