College of Science and Engineering at the University of Minnesota
College of Science and Engineering
http://cse.umn.edu/

School of Statistics (College of Liberal Arts)

The School of Statistics is a leading center of statistical practice, education, and research. The school, housed in the College of Liberal Arts, integrates theory and applications throughout its research and curriculum to offer degree programs to College of Science and Engineering students. We are constantly seeking better ways to learn from data using mathematics, computing, and insight to put statistics to work in business, industry, medicine, government, and scientific research.

Tradition of excellence

The school was formed by the merger of separate departments of applied statistics and of theoretical statistics. Most of our faculty are elected fellows of the major national statistical associations. Over the years, our faculty have served as presidents of these associations and the editors of their journals. Our Ph.D. graduates are found on the faculties of major universities throughout the world.

World-class academic programs

Our undergraduate program encompasses the theory and use of statistical methods and prepares students for graduate work or diverse fields such as marketing analysis, quality management, and support for scientific research. The master’s program has a strong core of both theoretical and applied statistics and provides a basis for work in a wide variety of areas. Students in our Ph.D. program collaborate with other research groups outside statistics. We also provide a Statistical Consulting Service for University researchers who need to apply statistical methodology to their own work.

Cutting-edge research

Our faculty and students are active in many areas of research. The school’s research is supported by the National Science Foundation and National Institutes of Health. Research interests include:

  • Probability theory, including decision making and random matrix theory
  • Computer-based inference methods
  • Model building and model selection
  • Dimension reduction methodology, to find useful information in a sea of available data

Business and industry connections

Our bachelor’s, master’s and Ph.D. graduates are employed by most large Twin Cities employers, including Medtronic, Boston Scientific, 3M, Target, government agencies and many health care companies, among others.

Contact information

School of Statistics
University of Minnesota
313 Ford Hall
224 Church Street S.E.
Minneapolis, MN 55455

Phone: 612-625-8046
Fax: 612-624-8868

Email: info@stat.umn.edu
Website: www.stat.umn.edu

 

At a glance

80 undergraduate students

100 master’s and Ph.D. students

17 faculty

6 staff