Econometrics & Quantitative Economics is a concentration offered under the economics major at Utah State University. Here, you’ll find out more about the major master’s degree program in econometrics and quantitative economics, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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Out-of-state part-time graduates at USU paid an average of $1,038 per credit hour in 2019-2020. The average for in-state students was $297 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $6,164 | $21,575 |
Fees | $1,023 | $1,023 |
USU does not offer an online option for its econometrics and quantitative economics master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the USU Online Learning page.
Of the students who received their master’s degree in econometrics and quantitative economics in 2019-2020, none of them were women.
None of the econometrics and quantitative economics master’s degree recipients at USU in 2019-2020 were awarded to racial-ethnic minorities*.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 1 |
International Students | 0 |
Other Races/Ethnicities | 0 |
You may also be interested in one of these majors related to econometrics and quantitative economics.
Related Major | Annual Graduates |
---|---|
General Economics | 4 |
Applied Economics | 2 |
View All Econometrics & Quantitative Economics Related Majors >
*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.
More about our data sources and methodologies.