Data Processing Technology at University of San Francisco
What traits are you looking for in a data processing tech school? To help you decide if University of San Francisco is right for you, we've gathered the following information about the school's data processing tech program.USFCA is located in San Francisco, California and approximately 10,068 students attend the school each year.
Want to know more about the career opportunities in this field? Check out the Careers in Data Processing Technology section at the bottom of this page.
Featured University of San Francisco Programs
Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
BS in Computer Science - Data Analysis
Build structured databases, explore big data and learn how to clean data in Southern New Hampshire University's online bachelor's in computer science with a concentration in data analysis.
BS in Information Technologies - Data Analytics
Learn to leverage data and develop innovative practices, products and processes with this specialized online bachelor's from Southern New Hampshire University.
USFCA Data Processing Technology Degrees Available
- Bachelor’s Degree in Data Processing Tech
- Master’s Degree in Data Processing Tech
Featured University of San Francisco Programs
Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
BS in Computer Science - Data Analysis
Build structured databases, explore big data and learn how to clean data in Southern New Hampshire University's online bachelor's in computer science with a concentration in data analysis.
BS in Information Technologies - Data Analytics
Learn to leverage data and develop innovative practices, products and processes with this specialized online bachelor's from Southern New Hampshire University.
USFCA Data Processing Technology Rankings
Data Processing Tech Student Demographics at USFCA
Take a look at the following statistics related to the make-up of the data processing tech majors at University of San Francisco.
USFCA Data Processing Technology Master’s Program
The following table and chart show the race/ethnicity for students who recently graduated from University of San Francisco with a master's in data processing tech.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 12 |
| Black or African American | 0 |
| Hispanic or Latino | 2 |
| White | 13 |
| International Students | 53 |
| Other Races/Ethnicities | 5 |
Related Programs
Learn about other programs related to University of San Francisco that might interest you.
BS in Computer Science - Data Analysis
Build structured databases, explore big data and learn how to clean data in Southern New Hampshire University's online bachelor's in computer science with a concentration in data analysis.
BS in Information Technologies - Data Analytics
Learn to leverage data and develop innovative practices, products and processes with this specialized online bachelor's from Southern New Hampshire University.
Get your foot in the door of a fast-growing field with the online associate degree in data analytics at Southern New Hampshire University.
Careers That Data Processing Tech Grads May Go Into
A degree in data processing tech can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for CA, the home state for University of San Francisco.
| Occupation | Jobs in CA | Average Salary in CA |
|---|---|---|
| Computer Workers | 74,690 | $103,270 |
| Computer Operators | 3,100 | $52,480 |
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.
- College Factual
- National Center for Education Statistics
- O*NET Online
- Image Credit: By Eric Chan under License
More about our data sources and methodologies.
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