Financial Mathematics is a concentration offered under the applied mathematics major at New York University. We’ve pulled together some essential information you should know about the master’s degree program in financial math, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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During the 2019-2020 academic year, part-time graduate students at NYU paid an average of $0 per credit hour. No discount was available for in-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $34,704 | $34,704 |
Fees | $2,188 | $2,188 |
NYU does not offer an online option for its financial math master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the NYU Online Learning page.
Of the students who received their master’s degree in financial math in 2019-2020, 35.4% of them were women. This is less than the nationwide number of 40.8%.
Of those graduates who received a master’s degree in financial math at NYU in 2019-2020, 8.3% were racial-ethnic minorities*. This is lower than the nationwide number of 10%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 3 |
Black or African American | 0 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 42 |
Other Races/Ethnicities | 0 |
You may also be interested in one of these majors related to financial mathematics.
Related Major | Annual Graduates |
---|---|
General Applied Mathematics | 121 |
View All Financial Mathematics 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.