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Financial Mathematics at University of Connecticut

Financial Mathematics at University of Connecticut

If you plan to study financial mathematics, take a look at what University of Connecticut has to offer and decide if the program is a good match for you. Get started with the following essential facts.

UCONN is located in Storrs, Connecticut and has a total student population of 27,215.

Want to know more about the career opportunities in this field? Check out the Careers in Financial Mathematics section at the bottom of this page.

UCONN Financial Mathematics Degrees Available

  • Bachelor’s Degree in Financial Math
  • Master’s Degree in Financial Math

UCONN Financial Mathematics Rankings

Financial Math Student Demographics at UCONN

Take a look at the following statistics related to the make-up of the financial math majors at University of Connecticut.

UCONN Financial Mathematics Master’s Program

36% Women
6% Racial-Ethnic Minorities*
For the most recent academic year available, 64% of financial math master's degrees went to men and 36% went to women.

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The following table and chart show the race/ethnicity for students who recently graduated from University of Connecticut with a master's in financial math.

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Race/Ethnicity Number of Students
Asian 1
Black or African American 2
Hispanic or Latino 2
White 18
International Students 67
Other Races/Ethnicities 0

Careers That Financial Math Grads May Go Into

A degree in financial math can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for CT, the home state for University of Connecticut.

Occupation Jobs in CT Average Salary in CT
Financial Analysts 6,240 $105,950
Financial Specialists 870 $77,690
Natural Sciences Managers 650 $179,200
Mathematical Science Professors 520 $80,500
Economists 140 $95,450

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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