by our College Data Analytics TeamComputational & Applied Mathematics is a concentration offered under the applied mathematics major at Stanford University. We’ve gathered data and other essential information about the master’s degree program in computational and applied math, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, and more.
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Part-time graduates at Stanford paid an average of $1,207 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $54,315 | $54,315 |
| Fees | $696 | $696 |
If you’re one of the many students who want the flexibility of distance learning courses, you’ll be happy to hear that Stanford offers online option in its computational and applied math master’s degree program. To see if the school offers distance learning options in other areas, visit the Stanford Online Learning page.
Women made up around 34.0% of the computational and applied math students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 47.4%.
Around 10.6% of computational and applied math master’s degree recipients at Stanford in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 6%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 5 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 10 |
| International Students | 32 |
| Other Races/Ethnicities | 0 |
*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.