Mathematics & Statistics is a program of study at Cornell University. The school offers a doctor’s degree in the area. We’ve pulled together some essential information you should know about the doctor’s degree program in mathematics and statistics, 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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In 2019-2020, the average part-time graduate tuition at Cornell was $1,575 per credit hour for both in-state and out-of-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $29,500 | $29,500 |
Fees | $542 | $542 |
Cornell 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 Cornell Online Learning page.
Of the students who received their doctor’s degree in mathematics and statistics in 2019-2020, 37.5% of them were women. This is higher than the nationwide number of 29.0%.
Of those students who received a doctor’s degree at Cornell in mathematics and statistics at 2019-2020, none were 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 | 3 |
International Students | 13 |
Other Races/Ethnicities | 0 |
Mathematics & Statistics students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Mathematics | 4 |
Applied Mathematics | 5 |
Statistics | 7 |
*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.