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Department of Statistics

Business Office Ross Hall 202

Mailing Address

Dept. 3332

1000 E. University Ave

Laramie, WY 82071

Phone: (307) 766-4229

Fax: (307) 766-3927


Graduate Learning Outcomes

Goal 1: Many extra-disciplinary Graduate Students take courses in Statistics, whether as the occasional course or as part of a Graduate Minor in Statistics. These students will develop the statistical skills needed for their own research programs. Depending on particular student needs, necessary skills may include knowledge of advanced statistical concepts, design of experiments, collection of data, and analysis of data. 

Objective 1: Demonstrate understanding of statistical concepts embedded in their courses.
Objective 2: Demonstrate proficiency in analyzing data using methods embedded in their courses.
Objective 3: Be proficient with statistical software packages appropriate for needed data analysis.

These objectives will be developed by

1. Successfully completing graduate level methodological statistics courses, and any prerequisites for these courses. (All upper division and graduate level methods courses focus strongly on both data analysis and statistical software.)

Degree Programs in Statistics

Goals and objectives for degree candidate in Statistics extend beyond the skills described for extra-disciplinary students, both in scope and in integration of statistical abilities. Goals and Objectives for MS and PhD students are similar to each other but differ in depth and breadth. Goals and Objective for Applied MS students differ in some respects from those for our other Graduate Degrees.

Applied Master's Degree in Statistics

The Applied Master's Degree in Statistics is designed as a terminal degree, typically taken by students with backgrounds in one of the Natural, Physical, or Social Sciences. Graduates with an Applied Master's Degree are trained as data analysts capable of work in a variety of positions in government and industry.

In addition to the skills listed above under Goal 1, Applied Masters students are expected to perform at the following levels:

Goal 2: Students shall be proficient data analysts and consultants.

Objective 4: Show ability to explore and organize data for analysis.
Objective 5: Demonstrate proficiency in analyzing data using methods embedded in their courses.
Objective 6: Demonstrate ability to select appropriate methodologies for analysis based on properties of particular data sets.
Objective 7: Be proficient with multiple statistical software packages and use appropriate statistical software for data analysis.
Objective 8: Apply concepts and skills to solve problems that arise in other disciplines.

These objectives will be developed by

1. Successfully completing a wide range of graduate level methodological statistics courses. (Many 4xxx/5xxx courses require some type of data analysis project in addition to exams and exercises.)
2. Completing a final data analysis project, as required for the Applied Master's Degree.

Goal 3: Students shall understand the mathematical basis and foundations of probability and statistics.

Objective 9: Demonstrate understanding of the properties of probability and probability distributions.
Objective 10: Demonstrate understanding of the probabilistic foundations of inference.
Objective 11: Demonstrate ability to use formal mathematical argument in the context of probability and statistics.

These objectives will be developed by

1. Successfully completing a one year sequence in probability and mathematical statistics.

Goal 4: Students shall be able to effectively communicate results of statistical analysis.

Objective 12: Demonstrate ability to write reports and orally present the results of statistical analyses using effective graphics and giving summaries and conclusions using nontechnical language

This objective will be developed by

1. Completing a final data analysis project, required for the Applied Master's degree. Results of this project are to be professionally presented in both written and oral forms.

MS Degree in Statistics

The traditional Master's Degree in Statistics prepares students to pursue a PhD in Statistics, to teach Mathematics and Statistics at the Community College level, or to hold employment as a statistician in government or industry. Goals 1-4 are still relevant, although the focus on data analysis (Goal 2) is not necessarily as strong for the traditional Master's Degree. On the other hand, Goal 3 (mathematical foundations) is often demonstrated at a higher level.

Goal 5: Students will demonstrate competence in statistical theory and methodology.

This goal will be developed by

1. Successfully completing Core Courses in Statistical Theory and Methods.
2. Passing the Statistics Qualifying Exam at the MS level.
3. Successfully completing courses that integrate knowledge of Theory and Methods.

PhD Degrees in Statistics

The PhD in Statistics prepares students for careers as academic or research statisticians at colleges and universities and in advanced research positions in industry and government. In addition to demonstrating the abilities required for completion of the MS Degree in Statistics, PhD students will do the following:

For PhD candidates, Goal 5 will be developed by

1. Successfully completing advanced courses in Statistical Theory and Methods, as designated by the Department and the student's Graduate Committee.
2. Passing the Statistics Qualifying Exam at the PhD level.
3. Writing and presenting an acceptable Dissertation Proposal for the PhD committee, outlining research objectives and progress.
4. Demonstrating readiness and competence for pursuing research objectives outlined in the Dissertation Proposal by passing the written and oral PhD Preliminary Exams.
5. Writing and defending a dissertation in Statistics containing original research. The quality of the dissertation is expected to be potentially publishable, and students should plan to submit portions of their research for publication in peer reviewed journals.

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