The Master of Applied Statistics, Plan C, Statistical Science Specialization emphasizes practical methods in statistics, focusing on applications and computational aspects rather than theory. The goal of this degree is to enable students to start working as practicing statisticians in industry or government immediately after graduation. Students receive a strong background in statistical computing while completing this degree. Full-time students complete the M.A.S. degree in less than a year; however, this degree may also be completed part-time, either online or on campus. Students who succeed in the field of statistics typically have strong quantitative skills, analytical minds, and like to help others solve problems.
Students interested in graduate work should refer to the Graduate and Professional Bulletin.
Effective Fall 2021
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| STAA 551 | Regression Models and Applications | 2 |
| STAA 552 | Generalized Regression Models | 2 |
| STAA 553 | Experimental Design | 2 |
| STAA 554 | Mixed Models | 2 |
| STAA 556 | Statistical Consulting | 2 |
| STAA 561 | Probability with Applications | 2 |
| STAA 562 | Mathematical Statistics with Applications | 2 |
| STAA 565 | Quantitative Reasoning | 1 |
| STAA 566 | Data Visualization Methods | 1 |
| STAA 567 | Computational and Simulation Methods | 1 |
| STAA 574 | Methods in Multivariate Analysis | 2 |
| STAA 575 | Applied Bayesian Statistics | 2 |
| STAT 586 | Practicum in Consulting Techniques | 1 |
| Select 8 credits from the following: | 8 | |
| Survey Statistics | ||
| Nonparametric Methods | ||
| Analysis of Time Series | ||
| Methods in Spatial Statistics | ||
| Statistical Learning and Data Mining | ||
| Machine Learning | ||
| Program Total Credits: | 30 | |
A minimum of 30 credits are required to complete this program.
For more information, please visit Requirements for All Graduate Degrees in the Graduate and Professional Bulletin.
Summary of Procedures for the Master's and Doctoral Degrees
NOTE: Each semester the Graduate School publishes a schedule of deadlines. Deadlines are available on the Graduate School website. Students should consult this schedule whenever they approach important steps in their careers.
Forms are available online.
| Step | Due Date |
|---|---|
| 1. Application for admission (online) | Six months before first registration |
| 2. Diagnostic examination when required | Before first registration |
| 3. Appointment of advisor | Before first registration |
| 4. Selection of graduate committee | Before the time of fourth regular semester registration |
| 5. Filing of program of study (GS Form 6) | Before the time of fourth regular semester registration |
| 6. Preliminary examination (Ph.D. and PD) | Two terms prior to final examination |
| 7. Report of preliminary examination (GS Form 16) - (Ph.D. and PD) | Within two working days after results are known |
| 8. Changes in committee (GS Form 9A) | When change is made |
| 9. Application for Graduation (GS Form 25) | Refer to published deadlines from the Graduate School Website |
| 9a. Reapplication for Graduation (online) | Failure to graduate requires Reapplication for Graduation (online) for the next time term for which you are applying |
| 10. Submit thesis or dissertation to committee | At least two weeks prior to the examination or at the discretion of the graduate committee |
| 11. Final examination | Refer to published deadlines from the Graduate School Website |
| 12. Report of final examination (GS Form 24) | Within two working days after results are known; refer to published deadlines from the Graduate School website |
| 13. Submit a signed Thesis/Dissertation Submission Form (GS Form 30) to the Graduate School and Submit the Survey of Earned Doctorates (Ph.D. only) prior to submitting the electronic thesis/dissertation | Refer to published deadlines from the Graduate School website. |
| 14. Submit the thesis/dissertation electronically | Refer to published deadlines from the Graduate School website |
| 15. Graduation | Ceremony information is available from the Graduate School website |