The main focus area for this major is App Specific Computer Programming. For more details on this concentration, visit its profile page.
Computer Programming is a major offered under the computer and information sciences program of study at DigiPen Institute of Technology. We’ve pulled together some essential information you should know about the master’s degree program in programming, 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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Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
During the 2019-2020 academic year, part-time graduate students at Digipen paid an average of $0 per credit hour. No discount was available for in-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
|Out of State
Online degrees for the Digipen programming master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Digipen Online Learning page.
About 12.5% of the students who received their MS in programming in 2019-2020 were women. This is less than the nationwide number of 25.1%.
Of those graduates who received a master’s degree in programming at Digipen in 2019-2020, 9.4% were racial-ethnic minorities*. This is lower than the nationwide number of 26%.
|Number of Students
|Black or African American
|Hispanic or Latino
|Native American or Alaska Native
|Native Hawaiian or Pacific Islander
Computer Programming students may decide to major in one of the following focus areas.
|App Specific Computer Programming
*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.