Statistics is a profession in its own right, but it's also an essential tool in countless career fields; from physical and social science to business, engineering, and marketing. Government and industry employers need skilled statisticians for operations research, numerical analysis, simulation and modeling, data analysis, market research, and commercial surveys. In the Master's Degree in Statistics, you will receive rigorous training in the design of experiments and the analysis and interpretation of results.
With this degree, you will be trained in both the theory and application of statistics in a specific mathematics-related area of your choice. Examples of these areas could be in:
With further education, one of these paths is possible:
To receive a master’s degree at Northern Arizona University, you must complete a planned group of courses from one or more subject areas, consisting of at least 30 units of graduate-level courses. (Many master’s degree programs require more than 30 units.)
You must additionally complete:
All requirements for your specific academic plan(s). This may include a thesis.
All graduate work with a cumulative grade point average of at least 3.0.
All work toward the master’s degree must be completed within six consecutive years. The six years begins with the semester and year of admission to the program.
Student Learning Outcomes
Graduates will demonstrate the 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 study design and the scientific questions of interest.
Graduates will be able to assess the 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.