The main focus area for this major is Financial Mathematics. For more details on this concentration, visit its profile page.
Applied Mathematics is a major offered under the mathematics and statistics program of study at University of San Diego. We’ve gathered data and other essential information about the master’s degree program in applied math, such as diversity of students, how many students graduated in recent times, and more.
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During the 2019-2020 academic year, part-time graduate students at USD paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $27,936 | $27,936 |
Fees | $474 | $474 |
USD does not offer an online option for its applied math master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the USD Online Learning page.
Of the students who received their master’s degree in applied math in 2019-2020, 48.3% of them were women. This is higher than the nationwide number of 40.0%.
Racial-ethnic minority graduates* made up 24.1% of the applied math master’s degrees at USD in 2019-2020. This is higher than the nationwide number of 11%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 4 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 7 |
International Students | 14 |
Other Races/Ethnicities | 2 |
Applied Mathematics students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Financial Mathematics | 29 |
*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.