Statistics (M.S.)
Without statistics, you’re just another person with an opinion.
The M.S. in statistics centers on the science of extracting meaning from complex data. Students master advanced statistical modeling and learn to implement those models using high-performance computing, with curriculum emphasis on biostatistics or informatics and data analytics.
The program is distinguished by the breadth of its research community: faculty and students work across bioinformatics, spatial statistics, precision agriculture, public health, business and financial analytics, forensic statistics and statistical learning.
This applied training prepares graduates to step directly into analytical roles across business, industry and government or to pursue a Ph.D. in computational and statistical sciences or other doctoral programs.
- Locations
- Brookings Main Campus
- Credits
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Thesis: 30
Non-Thesis: 30 - Est. Time to Completion
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2 years
- Start Term
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Fall
- Have strong problem-solving and quantitative skills.
- Have a strong interest in the pursuit of knowledge.
- Are able to grasp the essence of complex situations.
- Have good communication skills.
- Want your quantitative skills to have an impact.
Job Outlook
- Statistician
- Data scientist
- Statistical programmer
- Actuary
- Financial analyst
- Research and development manager
- Quality assurance engineer
- Professor
- Researcher