Actuarial Science is a concentration offered under the management sciences and quantitative methods major at Carnegie Mellon University. We’ve gathered data and other essential information about the bachelor’s degree program in actuarial science, such as diversity of students, how many students graduated in recent times, and more.
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During the 2019-2020 academic year, part-time undergraduate students at Carnegie Mellon paid an average of $800 per credit hour. No discount was available for in-state students. Information about average full-time undergraduate tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $57,560 | $57,560 |
Fees | $925 | $925 |
Books and Supplies | $1,000 | $1,000 |
On Campus Room and Board | $15,550 | $15,550 |
On Campus Other Expenses | $1,400 | $1,400 |
Learn more about Carnegie Mellon tuition and fees.
Online degrees for the Carnegie Mellon actuarial science bachelor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Carnegie Mellon Online Learning page.
Women made up around 33.3% of the actuarial science students who took home a bachelor’s degree in 2019-2020. This is less than the nationwide number of 43.7%.
Racial-ethnic minority graduates* made up 33.3% of the actuarial science bachelor’s degrees at Carnegie Mellon in 2019-2020. This is higher than the nationwide number of 20%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
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 | 1 |
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.