Computer & Information Sciences at Queens College

72% Racial-Ethnic Minorities* (Bachelor's)

Every computer & information sciences school has its own distinct culture and strengths. We've pulled together some statistics and other details to help you see how the computer & information sciences program at Queens College stacks up to those at other schools.

QC is located in Queens, New York and has a total student population of 19,700.

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

QC Computer & Information Sciences Degrees Available

Bachelor’s Degree in Computer & Information Sciences
Master’s Degree in Computer & Information Sciences

QC Computer & Information Sciences Rankings

The computer & information sciences major at QC is not ranked on College Factual’s Best Colleges and Universities for Computer & Information Sciences. 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.

Computer & Information Sciences Student Demographics at QC

Take a look at the following statistics related to the make-up of the computer & information sciences majors at Queens College.

QC Computer & Information Sciences Bachelor’s Program

22% Women

72% Racial-Ethnic Minorities*

For the most recent academic year available, 78% of computer & information sciences bachelor's degrees went to men and 22% went to women.

Prospective students may be interested in knowing that this school graduates 35% more racial-ethnic minorities in its computer & information sciences bachelor's program than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from Queens College with a bachelor's in computer & information sciences.

Race/Ethnicity	Number of Students
Asian	162
Black or African American	11
Hispanic or Latino	30
White	43
International Students	38
Other Races/Ethnicities	5

QC Computer & Information Sciences Master’s Program

56% Women

50% Racial-Ethnic Minorities*

For the most recent academic year available, 44% of computer & information sciences master's degrees went to men and 56% went to women.

In the computer & information sciences master's program at this school, racial-ethnic minorities make up 50% of degree recipients. That is 13% better than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from Queens College with a master's in computer & information sciences.

Race/Ethnicity	Number of Students
Asian	7
Black or African American	0
Hispanic or Latino	1
White	2
International Students	6
Other Races/Ethnicities	0

Concentrations Within Computer & Information Sciences

Computer & Information Sciences majors may want to concentrate their studies in one of these areas. The completion numbers here include all graduates who receive any type of degree in this field from Queens College. Some of these focus areas may not be available for your degree level.

Concentration	Annual Degrees Awarded
Computer Science	334

Careers That Computer & Information Sciences Grads May Go Into

A degree in computer & information sciences can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for NY, the home state for Queens College.

Occupation	Jobs in NY	Average Salary in NY
Software Applications Developers	52,640	$116,830
Computer User Support Specialists	45,190	$60,160
Computer Systems Analysts	44,030	$106,320
Computer and Information Systems Managers	27,070	$190,310
Network and Computer Systems Administrators	25,940	$94,940

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.

More about our data sources and methodologies.

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