Computer Science at Carnegie Mellon University

54% Racial-Ethnic Minorities* (Bachelor's)

Every computer science school has its own distinct culture and strengths. We've pulled together some statistics and other details to help you see how the compsci program at Carnegie Mellon University stacks up to those at other schools.

Carnegie Mellon is located in Pittsburgh, Pennsylvania and has a total student population of 13,519.

Want to know more about the career opportunities in this field? Check out the Careers in Computer Science section at the bottom of this page.

Carnegie Mellon Computer Science Degrees Available

Bachelor’s Degree in CompSci
Master’s Degree in CompSci

Carnegie Mellon Computer Science Rankings

The compsci major at Carnegie Mellon is not ranked on College Factual’s Best Colleges and Universities for Computer Science. This could be for a number of reasons, such as not having enough data on the major or school to make an accurate assessment of its quality.

There were 30 students who received their doctoral degrees in compsci, making the school the #7 most popular school in the United States for this category of students.

CompSci Student Demographics at Carnegie Mellon

Take a look at the following statistics related to the make-up of the compsci majors at Carnegie Mellon University.

Carnegie Mellon Computer Science Bachelor’s Program

43% Women

54% Racial-Ethnic Minorities*

For the most recent academic year available, 57% of compsci bachelor's degrees went to men and 43% went to women. The typical compsci bachelor's degree program is made up of only 24% women. So female students are more repesented at Carnegie Mellon since its program graduates 19% more women than average.

Prospective students may be interested in knowing that this school graduates 19% more racial-ethnic minorities in its compsci bachelor's program than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from Carnegie Mellon University with a bachelor's in compsci.

Race/Ethnicity	Number of Students
Asian	114
Black or African American	6
Hispanic or Latino	19
White	33
International Students	65
Other Races/Ethnicities	33

Carnegie Mellon Computer Science Master’s Program

21% Women

16% Racial-Ethnic Minorities*

For the most recent academic year available, 79% of compsci master's degrees went to men and 21% went to women.

The following table and chart show the race/ethnicity for students who recently graduated from Carnegie Mellon University with a master's in compsci.

Race/Ethnicity	Number of Students
Asian	9
Black or African American	0
Hispanic or Latino	0
White	4
International Students	37
Other Races/Ethnicities	11

Concentrations Within Computer Science

If you plan to be a compsci major, you may want to focus your studies on one of the following concentrations. The completion numbers here include all graduates who receive any type of degree in this field from Carnegie Mellon University. Some of these focus areas may not be available for your degree level.

Concentration	Annual Degrees Awarded
Computer Science	340

Careers That CompSci Grads May Go Into

A degree in compsci can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for PA, the home state for Carnegie Mellon University.

Occupation	Jobs in PA	Average Salary in PA
Software Applications Developers	28,260	$96,370
Computer Workers	19,010	$87,040
Computer and Information Systems Managers	13,070	$146,860
Computer Programmers	8,990	$85,800
Systems Software Developers	8,810	$103,520

References

*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.

College Factual
National Center for Education Statistics
O*NET Online
Image Credit: By Daderot under License

More about our data sources and methodologies.

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