Computer & Information Sciences is a program of study at University of Colorado Denver/Anschutz Medical Campus. 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 CU Anschutz was $1,255 per credit hour for out-of-state students. The average for in-state students was $377 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $6,786 | $22,590 |
Fees | $1,325 | $1,325 |
If you’re one of the many students who want the flexibility of distance learning courses, you’ll be happy to hear that CU Anschutz offers online option in its computer and information sciences master’s degree program. To see if the school offers distance learning options in other areas, visit the CU Anschutz Online Learning page.
Women made up around 31.7% of the computer and information sciences students who took home a master’s degree in 2019-2020. This is in the same ballpark of the nationwide number of 33.2%.
Racial-ethnic minority graduates* made up 11.7% of the computer and information sciences master’s degrees at CU Anschutz in 2019-2020. This is lower than the nationwide number of 19%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 7 |
Black or African American | 1 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 29 |
International Students | 74 |
Other Races/Ethnicities | 8 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Computer Information Systems | 35 |
Information Science | 85 |
*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.