Graduate Degree Program Summary

Graduate programs offered

Earn a Graduate Degree

Areas of Study

These informal areas of focus may help to shape your course of study but they will not appear on transcripts.

  • Bioinformatics
  • Biometry
  • Environmental and Agricultural Statistics
  • Mathematical Statistics
  • Statistics in Sports
  • Survey and Behavioral Statistics

Online and Distance Opportunities

Some online coursework may be available for your program; contact dept. for details.

Contacts for Statistics

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Other Ways to Connect

On the Web

Graduate Chair
Dr. Stephen Kachman

Graduate Secretary
Deb Lawrence

Campus Address
340 Hardin Hall North
Lincoln NE 68583-0963

Promo image for Statistics

Application checklist and deadlines

1. Required by Graduate Studies

2. Required by Statistics

  • Entrance exam(s): GRE
  • Minimum English proficiency:
    - Financial Consideration: Paper TOEFL 600, Internet TOEFL 100, IELTS 6.5
    - Otherwise: Paper TOEFL 550, Internet TOEFL 79, IELTS 6.5
  • Three recommendation letters
  • Statement of purpose

When sending GRE or TOEFL scores, our institution code is 6877 and a department code is not needed.

Application Deadlines for Statistics
  • For Financial Consideration: January 15 for Fall. October 15 for Spring.
  • Otherwise: April 1 for Fall. October 31 for Spring.

Application/admission is for entry in a specific term and year. Our academic year is divided into 3 terms: Fall (August-December), Spring (January-May), and Summer (multiple sessions May-August). Some programs accept new students only in certain terms and/or years.


Statistics as a discipline develops methods to collect and interpret data. Modern statistical methods are used in many areas, such as medicine, the biological and social sciences, economics, finance, manufacturing, marketing research, management, government, and research institutes.

Students who have majored in mathematics or statistics and have an interest in applications of these fields or students who have majored in other areas and have a good mathematics background should seriously consider a career in statistics. It is quite common for students to enter a statistics graduate program with only a few statistics courses since statistics is primarily a graduate discipline.

The Department of Statistics is involved in research, teaching, and statistical consulting for the entire university. Some of our faculty are involved in projects funded by federal agencies such as the National Science Foundation, Environmental Protection Agency, and United States Department of Agriculture. Because of its activities, the collaborative work with other disciplines gives graduate students a wide range of opportunities to work with individuals in these disciplines and to learn practical applications of statistical principles from direct experience. In addition, Ph.D. students have the opportunity to double major in statistics and economics.

Courses and More

Faculty and research

Where available, names link to bios or homepages and contact card icons () link to directory listings with address, phone, and email.

Chris Bilder

Categorical Data Analysis; Statistical Computing; Group Testing; Statistics in Sports

Erin Blankenship

Environmental Statistics; Nonlinear Models

Jennifer Clarke

Statistical Methodology with an Emphasis on High Dimensional and Predictive Methods; Statistical Computation; Bioinformatics/Computational Biology; Multi-Type Data Analysis; Bacterial Genomics/Metagenomics

Kent Eskridge

Decision Analysis; Design of Experiments; Biological Modeling

Kathy Hanford

Mixed Linear Models; Breeding and Genetics

Reka Howard

Statistics; Plant Breeding; Genomic Selection

Stephen Kachman

Mixed Linear Models; Plant and Animal Breeding and Genetics; Statistical Computing; Bioinformatics

Istvan (Steve) Ladunga

Computational Biology (Bioinformatics); Biostatistics; Epigenetics; Optimization; Machine Learning

David Marx

Spatial Variability; Design of Experiments; Linear Models; Statistics in Sports

Walter Stroup

Generalized Linear Models; Design of Experiments; Statistics in Developing Countries

Yuhang Xu

Non-Parametric and Semi-Parametric Statistical Methods; Functional Data Analysis; Survival Analysis; Measurement Error; Time Series Analysis, and their Applications in Public Health, Biology, Agriculture, Finance, Etc.

Zheng Xu

Graduate Faculty Associate

Qi Zhang

Theory, Methodology and Practice in Analyzing High Dimensional Data with Complex Structure

Shunpu Zhang

Bayes and Empirical Bayes Analysis; Estimating Animal Abundance

Yuzhen Zhou

Multivariate Spatial and Spatial-Temporal Models, Extreme Theory and Fixed Domain Asymptotics of Multivariate Gaussian Random Fields

This summary page is maintained by Graduate Studies.
For additional details check out the dept./program website: Statistics.

Departments: Have an update for this summary? Contact Kurt Mueller.