Human Computer Interaction at School of Visual Arts
If you plan to study human computer interaction, take a look at what School of Visual Arts has to offer and decide if the program is a good match for you. Get started with the following essential facts.SVA is located in New York, New York and has a total student population of 3,692.
Want to know more about the career opportunities in this field? Check out the Careers in Human Computer Interaction section at the bottom of this page.
SVA Human Computer Interaction Degrees Available
- Master’s Degree in Human Computer Interaction
SVA Human Computer Interaction Rankings
Human Computer Interaction Student Demographics at SVA
Take a look at the following statistics related to the make-up of the human computer interaction majors at School of Visual Arts.
SVA Human Computer Interaction Master’s Program
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The following table and chart show the race/ethnicity for students who recently graduated from School of Visual Arts with a master's in human computer interaction.
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Race/Ethnicity | Number of Students |
---|---|
Asian | 4 |
Black or African American | 0 |
Hispanic or Latino | 2 |
White | 2 |
International Students | 26 |
Other Races/Ethnicities | 2 |
Concentrations Within Human Computer Interaction
If you plan to be a human computer interaction major, you may want to focus your studies on one of the following concentrations. The table shows all degrees awarded in this field awarded for all degree levels at School of Visual Arts. A concentration may not be available for your level.
Concentration | Annual Degrees Awarded |
---|---|
Human Computer Interaction | 41 |
Related Majors
Careers That Human Computer Interaction Grads May Go Into
A degree in human computer interaction can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for NY, the home state for School of Visual Arts.
Occupation | Jobs in NY | Average Salary in NY |
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References
*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.