Today, most professional statistical training is received at the undergraduate, as well as at the graduate level. A major in statistics and a minor in any of the other related areas, such as mathematics, computer science, agriculture, biological sciences or social sciences provide a good blend of training suitable for many jobs in industry, government and academic institutions. It is becoming increasingly important for those in other disciplines to have good familiarity with basic statistical techniques and inference procedures.
The Department of Statistics offers a major leading to bachelor’s, master’s and doctoral degrees. Two undergraduate minors are offered, one in applied statistics and the second in statistics. Graduate certificates in Statistics and Big Data Applied Statistical Analysis are also available.. A mathematics and statistics double major, the pre-actuarial science option and a degree in behavioral statistics are offered at the undergraduate level.
The department provides opportunities to study both applied and theoretical aspects of statistics. Computers are extensively used in statistics instruction, and statistical software packages and programs are utilized in various courses. Data analysis is an important aspect in applied statistics courses.
There are excellent opportunities in statistics. Major corporations and most government agencies continually look for talented individuals with this type of education. Since even greater job opportunities are open to those with advanced statistical training, many undergraduates proceed directly to graduate work in statistics. Many students combine statistics with areas such as business, education, economics or biology.
Career opportunities are varied. A statistician may:
- consult in the design and analysis of clinical studies, evaluating new pharmaceutical agents;
- design experiments for agricultural, ecological, environmental or energy-related studies;
- determine mortality, morbidity and accident rates for an insurance company;
- serve as an opinion pollster for a public relations firm or a television network;
- develop theories of learning and behavior in conjunction with psychologists;
- determine optimal combinations and evaluate performance of various chemicals in industrial setups;
- conduct reliability and quality control studies in various industries; or
- develop econometrics, time series and forecasting models for determining the cause and effects of various socio-economic variables on society.
Statisticians work closely with other scientists and researchers to develop new statistical techniques, adapt existing techniques, design experiments and direct analyses of surveys and retrospective studies.
Statisticians are ranked number one in best STEM jobs in 2017 according to U.S. News and World Report.
The campus has several computer clusters connected to the campus network and the Internet. SAS, SPSS, Minitab, JMP, and R are among the statistical packages available. Computer consultants are available to assist students if programming help is needed.
For a statistics major, 15 to 18 credits in mathematics, four to seven credits in computer science and 21 to 27 credits in statistics are required. A minor in one of the following areas is also required: social science, physical science, biological sciences, business, mathematics or computer science.
Students interested in biostatistics may minor in biological sciences.
A student interested in business statistics may minor in business administration.
A joint degree with mathematics with a pre-actuarial science option is also available.
Behavioral Statistics Requirements
The behavioral statistics degree is a joint effort between the Department of Statistics and the Department of Psychology. Students wishing to obtain a degree in behavioral statistics should consult with an advisor in both departments. Employment opportunities include working with medical or Medicare data. Graduates of this program are expected to have good quantitative reasoning skills and strong people skills.
Rhonda C. Magel, Ph.D., Professor, Chair, University of Missouri, 1982; Field: Nonparametrics, Inference Under Order Restrictions, Regression
Megan Orr, Ph.D., Associate Professor, Iowa State University, 2012; Field: Gene Expression Analysis, High-Dimensional Data Analysis, Multiple Testing
Gang Shen, Ph.D., Associate Professor, Purdue University, 2009; Field: Mathematical Statistics, Asymptotic Theory, Bayesian Analysis, Change-Point Problem
Ronald Degges, Ph.D., Associate Professor of Practice, North Dakota State University, 2011; Field: Survival Analysis, Nonparametrics and Regression
Bong-Jin Choi, Ph.D., Assistant Professor, University of South Florida, 2014; Field: Computational Statistics, Machine Learning, Biostatistics, Public Health Research
Mingao Yuan, Ph.D., Assistant Professor, Purdue University, 2018; Field: Network Analysis, Big Data Analysis, Statistical Machine Learning
Andrew Lexvold, M.S., Lecturer, North Dakota State University, 2016; Field: Biostatistics, Bayesian and Spatial Analyses Applied to Election Forecasting