General Information Science is a concentration offered under the information science major at University of Colorado Denver/Anschutz Medical Campus. Here, you’ll find out more about the major master’s degree program in information science, including such details as the number of graduates, diversity of students, and more.
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Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
To stay competitive in today's information technology world, employees need to have training that goes beyond traditional computer programming and IT expertise.
During the 2019-2020 academic year, part-time graduate students at CU Anschutz paid an average of $1,255 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $377 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 | $6,786 | $22,590 |
Fees | $1,325 | $1,325 |
Looking for online learning options? Good news, you can take online classes in the information science master’s degree program at CU Anschutz. To see if the school offers distance learning options in other areas, visit the CU Anschutz Online Learning page.
Of the students who received their master’s degree in information science in 2019-2020, 35.3% of them were women. This is less than the nationwide number of 45.0%.
Racial-ethnic minority graduates* made up 11.8% of the information science master’s degrees at CU Anschutz in 2019-2020. This is lower than the nationwide number of 25%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 5 |
Black or African American | 0 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 22 |
International Students | 51 |
Other Races/Ethnicities | 6 |
*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.