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Econometrics & Quantitative Economics at University of Missouri - St Louis

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Econometrics & Quantitative Economics at University of Missouri - St Louis

Every econometrics and quantitative economics school has its own distinct culture and strengths. We've pulled together some statistics and other details to help you see how the econometrics and quantitative economics program at University of Missouri - St Louis stacks up to those at other schools.

UMSL is located in Saint Louis, Missouri and approximately 16,441 students attend the school each year.

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

UMSL Econometrics & Quantitative Economics Rankings

Note: Although rankings can help you see some information about a school, it's not a good idea to depend on them alone. Be sure to check out other things about the school before making your decision to attend.

In 2019, 0 student received their master’s degree in econometrics and quantitative economics from UMSL. This is the #87 most popular school for econometrics and quantitative economics master’s degree candidates in the country.

UMSL also has a doctoral program available in econometrics and quantitative economics. In 2019, 0 student graduated with a doctor's degree in this field.

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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