College of the Environment, Forestry, and Natural Sciences2021-2022

Department of Mathematics and Statistics

Statistics, Master of Science

Learning Outcomes

Student Learning Outcomes
  • Graduates will demonstrate breadth and depth of knowledge of statistics at the graduate level.
    • Graduates will understand a wide range of statistical theory, especially Probability, Mathematical Statistics, and Linear Models, which are central to advanced studies in statistics. This foundation provides the primary mathematical framework for understanding and applying advanced statistical methods.
    • Graduates will understand and be able to apply advanced statistical models and inference methods and how they relate to the core statistical theory.
    • Graduates will demonstrate mastery by successfully completing a comprehensive oral exam covering an approved set of three courses encompassing topics in both theoretical and applied statistics. This exam is administered by a committee of the faculty with expertise in these courses from the Department of Mathematics & Statistics.
  • Graduates will demonstrate statistical reasoning skills at the graduate level.
    • Graduates will be able to select data collection methodologies based on relevant scientific questions and practicality constraints.
    • Graduates will be able to choose and implement analysis methods based on the constraints of a study design and the scientific questions of interest.
    • Graduates will be able to assess statistical significance of aspects of a proposed model and interpret  the results in the situational context.
    • Graduates will have the theoretical and applied knowledge to understand and critique new statistical methodology and its relevance to a particular study or scientific problem.
    • Graduates will possess the creativity and intuition to apply known statistical methodology in new situations.
  • Graduates will communicate statistics effectively in preparation for careers in industry, with government agencies, or in education.
    • By both written and oral means, graduates will be able to explain statistical methodology, assumptions, and results.
    • Graduates will be proficient in the use of numerical, graphical, and narrative methods for conveying statistical information.
    • By tailoring the level of complexity and detail to the audience, graduates will be able to communicate effectively with statisticians, non--statistician researchers, and the community at large.

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