by our College Data Analytics TeamComputer & Information Sciences is a program of study at Central Connecticut State University. 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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During the 2019-2020 academic year, part-time graduate students at CCSU paid an average of $728 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $714 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 | $7,674 | $19,768 |
| Fees | $5,174 | $6,304 |
Online degrees for the CCSU computer and information sciences master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the CCSU Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 33.3% of them were women. This is in the same ballpark of the nationwide number of 33.2%.
Around 22.2% of computer and information sciences master’s degree recipients at CCSU in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 2 |
| International Students | 5 |
| Other Races/Ethnicities | 0 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Information Systems | 9 |
*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.