Graduate Degree Program Summary

Graduate degrees offered


  • M.S.; Ph.D.


Areas of Study
  • Bioinformatics
  • Biometry
  • Environmental and Agricultural Statistics
  • Mathematical Statistics
  • Statistics in Sports
  • Survey and Behavioral Statistics
Promo image for Statistics

Contacts for Statistics

On the Web


Graduate Chair

Dr. Chris Bilder

Program Information

Stacey Herceg


Campus Address

340 Hardin Hall North

Lincoln NE 68583-0963

Application checklist and deadlines

Required by the Office of Graduate Studies

See also: steps to admission.

Required by Statistics in GAMES

After you apply, allow one business day for us to establish your access to GAMES, where you'll complete these departmental requirements:

  • 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, UNL's institution code is 6877 and a department code is not needed.

Application Deadlines for Statistics
For Financial ConsiderationFall: January 15 Spring: October 15
OtherwiseFall: April 1 Spring: October 31


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

Students in Statistics are most likely to take courses in: See also: Course Catalog in the Graduate Bulletin.

Students will work with an advisor to create a Program of Studies or Memorandum of Courses during the first half of their coursework.

Faculty and research

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
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
Allan McCutcheon
Categorical Data Analysis; Survey Research Methods and Design; Cross-National and Comparative Survey Research
Julia Soulakova
Dose-Finding Strategies; Analysis of Single or Combination Drug Studies; Statistics in Behavioral Medicine
Walter Stroup
Generalized Linear Models; Design of Experiments; Statistics in Developing Countries
Shunpu Zhang
Bayes and Empirical Bayes Analysis; Estimating Animal Abundance

Departments: Have an update for this page? Contact Stacy Dam.

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