Department Information: 
223 TMCB

Statistics is a scientific discipline by which statisticians assist other scientists and researchers in making informed decisions in the face of uncertainty. Statisticians use skills in a variety of areas to solve problems. The application of statistics is the embodiment of the scientific method.

The statistics MS degree prepares outstanding students for successful and productive careers, and to enroll in the best Ph.D. programs.  A firm foundation in theoretical statistics is provided and the courses offer approaches to the solution of important real-world problems.

The Statistics Integrated BS/MS program allows well-prepared students to complete both degree programs efficiently and at a lower tuition cost. Majors in all statistics emphases can apply for the integrated program after taking Math 112, Math 113, Math 313, Math 314, Stat 230, Stat 240, Stat 330 and Stat 340 and completing University Core requirements.

Roughly 14 students are accepted into the statistic's masters program each fall. Students are expected to complete the master’s program in two years.

Chair:  William F. Christensen
Graduate Coordinator:  David B. Dahl

Resources & Opportunity: 

Center for Collaborative Research and Statistical Consultation. The Center operates with full access to all departmental resources to provide statistical expertise to faculty, graduate students, and off-campus researchers in other disciplines. Areas of particular strength are designing experiments and sample surveys and analyzing the resulting data. Problems are solved by application and adaptation of state-of-the-art methodology and development of new methodology as required.

Computing Facilities. The Department of Statistics provides several excellent general computer laboratories furnished with computing equipment and software for statistical graphics, data analysis, and statistical computing. These laboratories are reserved for students in the department.

Department Research. Faculty members in the Department of Statistics carry out a rich variety of research programs. Research emphases include Bayesian methods, environmental and spatial statistics, reliability of industrial and computing processes, statistical genetics and bio-informatics, mixed models and longitudinal data, data mining, chemometrics, actuarial methods, design and analysis of experiments, and issues in statistical computation. In addition to these general areas, more specific research interests for individual faculty are listed in the faculty section immediately following the course descriptions.

For a more detailed description of the graduate program requirements, send for a copy of the department’s bulletin or visit their website at

Financial Assistance: 

The department has limited funds to supplement students’ financial resources, and such funds are only available within departmental and university guidelines. All admitted students receive teaching or research assistantships. Some tuition support is available, and is awarded on a competitive basis