General Computer & Information Sciences is a concentration offered under the computer information systems major at Michigan State University. 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, whether or not the degree is offered online, and more.
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During the 2019-2020 academic year, part-time graduate students at Michigan State paid an average of $1,544 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $786 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 | $18,858 | $37,056 |
Online degrees for the Michigan State 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 Michigan State Online Learning page.
Women made up around 30.8% 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 29.5%.
Of those graduates who received a master’s degree in computer and information sciences at Michigan State in 2019-2020, 11.5% were racial-ethnic minorities*. This is lower than the nationwide number of 17%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 15 |
International Students | 8 |
Other Races/Ethnicities | 0 |
*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.