Mathematics & Statistics is a program of study at Stony Brook 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, and more.
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Out-of-state part-time graduates at SUNY Stony Brook paid an average of $963 per credit hour in 2019-2020. The average for in-state students was $471 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $11,310 | $23,100 |
Fees | $2,483 | $2,483 |
Online degrees for the SUNY Stony Brook mathematics and statistics doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the SUNY Stony Brook Online Learning page.
About 30.0% of the students who received their PhD in mathematics and statistics in 2019-2020 were women. This is about the same as the countrywide number of 29.0%.
Of those students who received a doctor’s degree at SUNY Stony Brook 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 | 5 |
International Students | 23 |
Other Races/Ethnicities | 2 |
Mathematics & Statistics students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Mathematics | 8 |
Applied Mathematics | 22 |
*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.