Computer & Information Sciences is a program of study at Nova Southeastern University. The school offers a master’s degree in the area. We’ve gathered data and other essential information about the master’s degree program in computer and information sciences, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, and more.
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Part-time graduates at NUS Florida paid an average of $1,145 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $20,618 | $20,618 |
Fees | $1,624 | $1,624 |
If you’re interested in online learning, you’re in luck. NUS Florida does offer online classes in its computer and information sciences master’s degree program. To see if the school offers distance learning options in other areas, visit the NUS Florida Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 38.3% of them were women. This is higher than the nationwide number of 33.2%.
Of those graduates who received a master’s degree in computer and information sciences at NUS Florida in 2019-2020, 49.6% were racial-ethnic minorities*. This is higher than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 6 |
Black or African American | 33 |
Hispanic or Latino | 25 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 29 |
International Students | 25 |
Other Races/Ethnicities | 15 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 26 |
Information Science | 79 |
Computer Science | 18 |
Information Technology | 10 |
*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.