Master of Applied Statistics (MAS)

Available Fully Online
Students can earn a Master of Applied Statistics degree entirely through online coursework. Full-time students can complete the 30-credit program in just 15 months. The program is also ideal for working professionals, who can balance full-time jobs with our asynchronous online courses. The MAS program also includes statistical consulting coursework and credit for work experience in statistics gained through an internship or with a current employer.
Beginning Fall 2025
The Master of Applied Statistics (MAS) degree program will help address the growing need for statistical training in today’s data-rich world. Statistician is projected to be one of the fastest growing jobs in the next decade, and we look forward to helping many people gain the skills they need to launch rewarding careers in statistics or to expand their impact within their current professional roles. Our MAS courses give our students the tools they need to learn from data and to have a positive impact in a wide range of businesses and industries. Students will learn to design data collection and analysis processes, to use modern statistical computing technologies, and to apply machine learning and artificial intelligence to enhance insights from data.
Prerequisites
- Exposure to statistics comparable to an introductory statistics course
- Calculus I and II (differentiation, integration, sequences, series)
- Knowledge of matrix algebra
- Bachelor’s degree with a grade point average at least 3.0 on a 4.0 scale
Application
The program officially begins Fall 2025, and applications for admission are welcome. For questions about the application process please email Petruța Caragea.
Application Materials
- Bachelor’s degree transcript
- CV or resume
- Iowa State University Graduate College online application form
- Cover letter (optional)
Ready to Join the Department of Statistics?
Courses
Designator | Number | Name | Credits |
---|---|---|---|
STAT | 5279 | Statistical Computing for Data Analysis | 3 |
STAT | 5101 | Statistical Methods for Data Analysis | 4 |
STAT | 5147 | Statistical Theory for Data Analysis | 4 |
STAT | 5212 | Experimental Design and Data Analysis | 3 |
STAT | 5215 | Time Series Data Analysis | 3 |
STAT | 5219 | Bayesian Data Analysis | 3 |
STAT | 5207 | Multivariate Data Analysis | 3 |
STAT | 5208 | Statistical Machine Learning and Artificial Intelligence | 3 |
STAT | 5292 | Principles of Statistical Consulting | 2 |
STAT | 5298 | Experiential Learning in Applied Statistics | 2 |