Computer & Information Sciences is a program of study at Purdue University Global. The school offers a master’s degree in the area. We’ve pulled together some essential information you should know about the master’s degree program in computer and information sciences, including how many students graduate each year, the ethnic diversity of these students, and more.
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In 2019-2020, the average part-time graduate tuition at Purdue University Global was $444 per credit hour for out-of-state students. The average for in-state students was $400 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $8,766 | $9,740 |
Fees | $852 | $934 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at Purdue University Global. To see if the school offers distance learning options in other areas, visit the Purdue University Global Online Learning page.
Women made up around 33.8% of the computer and information sciences students who took home a master’s degree in 2019-2020. This is about the same as the countrywide number of 33.2%.
Of those graduates who received a master’s degree in computer and information sciences at Purdue University Global in 2019-2020, 50.7% were racial-ethnic minorities*. This is higher than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 6 |
Black or African American | 45 |
Hispanic or Latino | 15 |
Native American or Alaska Native | 1 |
Native Hawaiian or Pacific Islander | 1 |
White | 67 |
International Students | 1 |
Other Races/Ethnicities | 6 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 77 |
Information Technology | 65 |
*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.