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Econometrics & Quantitative Economics at University of Missouri - St Louis

Econometrics & Quantitative Economics at University of Missouri - St Louis

If you are interested in studying econometrics & quantitative economics, you may want to check out the program at University of Missouri - St Louis. The following information will help you decide if it is a good fit for you.

UMSL is located in Saint Louis, Missouri and has a total student population of 13,874.

Want to know more about the career opportunities in this field? Check out the Careers in Econometrics & Quantitative Economics section at the bottom of this page.

UMSL Econometrics & Quantitative Economics Degrees Available

  • Bachelor’s Degree in Econometrics and Quantitative Economics
  • Master’s Degree in Econometrics and Quantitative Economics

UMSL Econometrics & Quantitative Economics Rankings

The econometrics and quantitative economics major at UMSL is not ranked on College Factual’s Best Colleges and Universities for Econometrics & Quantitative Economics. This could be for a number of reasons, such as not having enough data on the major or school to make an accurate assessment of its quality.

Econometrics and Quantitative Economics Student Demographics at UMSL

Take a look at the following statistics related to the make-up of the econometrics and quantitative economics majors at University of Missouri - St Louis.

UMSL Econometrics & Quantitative Economics Bachelor’s Program

30% Women
30% Racial-Ethnic Minorities*
For the most recent academic year available, 70% of econometrics and quantitative economics bachelor's degrees went to men and 30% went to women.

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About 60% of those who receive a bachelor's degree in econometrics and quantitative economics at UMSL are white. This is above average for this degree on the nationwide level. Prospective students may be interested in knowing that this school graduates 2% more racial-ethnic minorities in its econometrics and quantitative economics bachelor's program than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from University of Missouri - St Louis with a bachelor's in econometrics and quantitative economics.

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Race/Ethnicity Number of Students
Asian 0
Black or African American 2
Hispanic or Latino 1
White 6
International Students 1
Other Races/Ethnicities 0

UMSL Econometrics & Quantitative Economics Master’s Program

50% Women
33% Racial-Ethnic Minorities*
For the most recent academic year available, 50% of econometrics and quantitative economics master's degrees went to men and 50% went to women.

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Of the students who received a econometrics and quantitative economics master's degree from UMSL, 67% were white. This is above average for this degree on the natiowide level. In the econometrics and quantitative economics master's program at this school, racial-ethnic minorities make up 33% of degree recipients. That is 5% better than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from University of Missouri - St Louis with a master's in econometrics and quantitative economics.

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Race/Ethnicity Number of Students
Asian 0
Black or African American 1
Hispanic or Latino 1
White 4
International Students 0
Other Races/Ethnicities 0

Careers That Econometrics and Quantitative Economics Grads May Go Into

A degree in econometrics and quantitative economics can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for MO, the home state for University of Missouri - St Louis.

Occupation Jobs in MO Average Salary in MO
Managers 3,980 $97,820
Economists 250 $112,240
Economics Professors 180 $108,240

References

*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.

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