by our College Data Analytics TeamMathematics & Statistics is a program of study at California Institute of Technology. The school offers a doctor’s degree in the area. Here, you’ll find out more about the major doctor’s degree program in mathematics and statistics, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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Part-time graduates at Caltech paid an average of $486 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $54,570 | $54,570 |
| Fees | $2,079 | $2,079 |
Caltech does not offer an online option for its mathematics and statistics doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Caltech Online Learning page.
About 25.0% of the students who received their PhD in mathematics and statistics in 2019-2020 were women. This is less than the nationwide number of 29.0%.
None of the mathematics and statistics doctor’s degree recipients at Caltech in 2019-2020 were awarded to racial-ethnic minorities*.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 8 |
| Other Races/Ethnicities | 0 |
Mathematics & Statistics students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Mathematics | 5 |
| Applied Mathematics | 3 |
*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.