Computer & Information Sciences is a program of study at Dakota State University. The school offers a master’s degree in the area. Here, you’ll find out more about the major master’s degree program in computer and information sciences, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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During the 2019-2020 academic year, part-time graduate students at Dakota State paid an average of $616 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $330 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 | $5,939 | $11,088 |
Fees | $721 | $721 |
If you’re interested in online learning, you’re in luck. Dakota State 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 Dakota State Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 20.8% of them were women. This is less than the nationwide number of 33.2%.
Around 18.8% of computer and information sciences master’s degree recipients at Dakota State in 2019-2020 were awarded to racial-ethnic minorities*. This is about the same as the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 7 |
Black or African American | 5 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 2 |
Native Hawaiian or Pacific Islander | 1 |
White | 62 |
International Students | 17 |
Other Races/Ethnicities | 5 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 60 |
Information Science | 13 |
Information Technology | 28 |
*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.