There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The undergraduate certificates in Applied Statistics is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the work force or for graduate studies.

Students will gain competence in such topics as descriptive statistics, estimation, confidence intervals, probability and inferential techniques, simple and multiple regression, analysis of variance, and more-advanced topics. Students can focus on a particular application area such as economics, psychology, sociology, geology, or environmental science through the choice of an elective course and the data analysis project

Admission Requirements

All undergraduate students in good standing (including non-degree seeking students) will be admitted to the program. For students in the College of Liberal Arts and Sciences, this requires a cumulative grade point average of 2.0 or above. Students must also have some mathematical background, including completion of calculus 1, 2 and 3, as well as linear algebra with a grade of B- (3.0) or better. Students enrolled in the certificate program will be expected to utilize concepts from calculus and linear algebra without the use of technology, e.g., evaluation of limits, derivatives, and integrals

Learning Outcomes

Students completing this certificate will have essential competencies in several areas related to analysis of data:

1. Understand probability and statistics in order to quantify uncertainty

2. Build complex models for finding patterns and explaining data

3. Communicate statistical findings both orally and in writing

Degree Requirements:

The certificate requires 12 credits of coursework split across 4 courses:

One course in probability (3 credit hours) from:

  • · MATH 3800 Probability and Statistics for Engineers
  • · MATH 3810 Introduction to Probability

It is strongly advised that MATH 3810 be taken rather than MATH 3800.

Two fundamental statistics courses (6 credit hours):

  • · MATH 3382 Statistical Theory
  • · MATH 4387 Applied Regression Analysis

One additional elective (3 credit hours) from:

  • · Any statistics course in the Department of Mathematical and Statistical Sciences at the 4000 level or higher (must be pre-approved by the Director of Statistical Programs). MATH 4830 cannot apply for the certificate.
  • · ECON 4030 Data Analysis with SAS
  • · ECON 4150 Economic Forecasting
  • · ECON 4811 Introduction to Econometrics
  • · GEOG 4770 Applied Statistics for the Natural Sciences (Cross-listed with GEOL 4770)
  • · An equivalent course pre-approved by the Director of Statistical Programs

For more information:

Dr. Joshua French, Director of Statistical Programs

joshua.french@ucdenver.edu