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Graduate Certificate in Statistics

Statistics and related quantitative skills are some of the most valued by employers. US News & World Report listed statistician as one of the top jobs in the US in their latest survey. The Department of Labor lists median pay in 2015 for statisticians (at the masters level) as $81,950, with employment growth of 33% over the ten years from 2016 to 2026, which is much faster than average. The Graduate Certificate in Statistics provides graduate students with training in statistics and related skills (e.g., data science) that will help prepare them to be competitive in today’s job market.

Program Description


1. Completion of a bachelor's degree from a regionally-accredited College or University.

2. Cumulative undergraduate GPA of 3.0 or better.

3. Successful completion of Intermediate Microeconomic Analysis (Econ 4010 or equivalent), Intermediate Macroeconomic Analysis (Econ 4020 or equivalent), Calculus 1,2 & 3, and two semesters of basic statistics with a B- or better.*


Application – Please complete this form and submit it. The application must be complete and approved PRIOR to taking the STAT elective courses.

If you are not a University of Utah graduate student, you will need to apply as a non-matriculated student to the University of Utah.  If you are a Utah resident, non-matriculated tuition would be the same as in-state graduate tuition.  If you are non-resident, you would pay non-resident tuition, or international tuition if you are not a resident of the United States.  More information about tuition can be found here:

Please note that the Graduate Certificate in Statistics is an on-campus program; no on-line alternative exists.


Departmental Statistics Courses

One of the following:

ECON 6630: Applied Econometrics (3 credits)

ECON 7590: Econometrics (3 credits)

Plus BOTH of the following:

ECON 7800: Econometrics I (3 credits)

ECON 7801: Econometrics II (3 credits)


Statistics Electives

Two of the following:

STAT 6003: Survey of Statistical Packages (3 credits)

STAT 6571: Foundation of Applied Data Analytics and Visualization (3 credits)

STAT 6572: Nonparametric Statistics (3 credits)

STAT 6573: Practical Data Science (3 credits)

STAT 6574: Intro to Bayseian Methods (3 credits)

STAT 6769: Introduction to Hierarchical Linear Modeling (3 credits)

STAT 6969: Computational Statistics (3 credits)

STAT 6969: Statistics in Epidemiology (3 credits) 


Last Updated: 11/15/22