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Program description


The curriculum in statistics includes a firm foundation in mathematics and computer science, in addition to course work in statistical theory and methodology. Statistics majors are also required to obtain a minor in an area of application. The nature of statistical work is to design and analyze research projects through the application of the principles of mathematics, computer science, and statistics. The student who wishes to make valid inferences from empirical data will find the field of statistics fascinating and rewarding.

The study of statistics as a separate professional field is comparatively recent. The wide demand for graduates with special training in research and development techniques has fostered development of statistical curricula in colleges and universities. A pioneer in this field, the University of Wyoming is one of the few schools in the nation where a coordinated undergraduate training program in statistics is available.

Graduates with statistical training are employed in a broad spectrum of areas which include the business world, the sciences (social, biological, physical and health), as well as engineering and education. For this reason, an area of application is required of each student.

Admission requirements

Program Specific Admission Requirements

The prerequisite for admission to graduate study is an undergraduate degree from an accredited institution, including work in mathematics through calculus III, Linear Algebra and at least one second-level class in statistical methods. Prospective students are encouraged to have had Math Analysis and upper level introduction to probability and mathematical statistics. A score of at least 150 on the verbal reasoning section and a score of at least 141 on the quantitative reasoning section is required for the Master’s Degree and the TOEFL exam is required for international students. The minimum score for the TOEFL is 540 (76 Internet-based Test) or for IELTS minimum score is 6.5. Students who do not have prerequisites in mathematics and statistics may make up this deficiency at the beginning of their graduate program; however, such work does not count toward graduation requirements.

For more information about admission requirements, please visit the university website

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Program content

  • Statistics and the World
  • Fundamentals of Statistics
  • Introductory Statistics for the Social Sciences
  • Statistical Methods for Business and Management Science
  • Statistical Methods
  • Regression Analysis
  • Design and Analysis of Experiments
  • Categorical Data Analysis
  • Causal Models
  • Time Series Analysis and Forecasting
  • Fundamentals of Sampling
  • Basic Engineering Statistics
  • Data Mining
  • Mathematical Theory of Probability
  • Introduction to the Theory of Statistics
  • Applied Bayesian Statistics
  • Models for Hierarchical Data
  • Applied Multivariate Analysis
  • Survey Construction and Analysis
  • Spatial Statistics
  • Survival Analysis
  • Statistical Software
  • Senior Thesis
  • Problems in Statistics
  • Design and Analysis of Experiments I
  • Statistical Methods for the Biological Science
  • Statistical Methods for the Biological Sciences II
  • Statistical Methods for the Social Sciences
  • Statistical Methods for the Agricultural and Natural Resource Sciences
  • Analysis of Data
  • Advanced Regression
  • Advanced Design
  • Statistic Methods III
  • Bayesian Data Analysis
  • Statistical Consulting
  • Distribution Theory
  • Inference I
  • Inference II
  • Large Sample Theory
  • Time Series Analysis II
  • Theory of Linear Models
  • Multivariate Analysis
  • Theory of Sampling
  • Computationally Intensive Methods in Statistics
  • Mixed Models
  • Advanced Bayesian Statistics
  • Teaching of Statistics
  • Advanced Problems
  • Advanced Topics
  • Continuing Registration: On Campus
  • Continuing Registration: Off Campus
  • Enrichment Studies
  • Thesis Research
  • Dissertation Research
  • Internship


We expect that students graduating with a statistics degree will be able to:

  1. Recognize the importance of variation and uncertainty in the world.
  2. Understand how statistics improves decisions when faced with uncertainty.
  3. Become proficient with a broad range of statistical tools.
  4. Develop critical thinking skills that enable application of statistics in new and unusual settings.
  5. Communicate effectively. With these skills, graduates will be able to work effectively as statistical professionals.

Continuing studies

Graduates will successfully pursue further training at the Doctorate Levels.

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About this institute

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University of Wyoming

The University of Wyoming is located in the safe and inviting college town of Laramie, Wyoming. Laramie is a community located about two hours north of the large, metropolitan city of Denver, Colorado. Laramie is nestled in a valley at...

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Contact info

University of Wyoming

1000E University Avenue
82071 Laramie

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