by our College Data Analytics TeamMathematics & Statistics is a program of study at The University of Alabama. The school offers a doctor’s degree in the area. We’ve gathered data and other essential information about the doctor’s degree program in mathematics and statistics, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, and more.
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Out-of-state part-time graduates at UA paid an average of $1,550 per credit hour in 2019-2020. The average for in-state students was $615 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 | $10,780 | $30,250 |
| Fees | $690 | $690 |
UA 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 UA 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 UA 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 | 1 |
| International Students | 3 |
| Other Races/Ethnicities | 0 |
Mathematics & Statistics students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Mathematics | 3 |
| Applied Statistics | 1 |
*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.