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Computer Science at Iona College

Computer Science at Iona College

If you plan to study computer science, take a look at what Iona College has to offer and decide if the program is a good match for you. Get started with the following essential facts.

Iona is located in New Rochelle, New York and has a total student population of 3,590.

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.

Iona Computer Science Degrees Available

  • Bachelor’s Degree in Computer Science
  • Master’s Degree in Computer Science

Iona Computer Science Rankings

Computer Science Student Demographics at Iona

Take a look at the following statistics related to the make-up of the computer science majors at Iona College.

Iona Computer Science Master’s Program

33% Women
For the most recent academic year available, 67% of computer science master's degrees went to men and 33% went to women.

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Of the students who received a computer science master's degree from Iona, 100% were white. This is above average for this degree on the natiowide level.

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

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Race/Ethnicity Number of Students
Asian 0
Black or African American 0
Hispanic or Latino 0
White 3
International Students 0
Other Races/Ethnicities 0

Careers That Computer Science Grads May Go Into

A degree in computer science 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 Iona College.

Occupation Jobs in NY Average Salary in NY
Software Applications Developers 52,640 $116,830
Computer and Information Systems Managers 27,070 $190,310
Systems Software Developers 19,690 $115,120
Computer Programmers 15,380 $91,250
Computer Network Support Specialists 12,930 $79,200

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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