The main focus area for this major is Human Computer Interaction. For more details on this concentration, visit its profile page.
Human Computer Interaction is a major offered under the multi / interdisciplinary studies program of study at SUNY Oswego. We’ve pulled together some essential information you should know about the master’s degree program in human computer interaction, including how many students graduate each year, the ethnic diversity of these students, and more.
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During the 2019-2020 academic year, part-time graduate students at SUNY Oswego paid an average of $963 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $471 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 | $11,310 | $23,100 |
Fees | $1,231 | $1,231 |
SUNY Oswego does not offer an online option for its human computer interaction master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the SUNY Oswego Online Learning page.
About 66.7% of the students who received their Master’s in human computer interaction in 2019-2020 were women. This is higher than the nationwide number of 55.8%.
Of those graduates who received a master’s degree in human computer interaction at SUNY Oswego in 2019-2020, 33.3% were racial-ethnic minorities*. This is higher than the nationwide number of 24%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 6 |
International Students | 4 |
Other Races/Ethnicities | 1 |
Human Computer Interaction students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Human Computer Interaction | 15 |
*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.