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Data Processing Technology in California

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Data Processing Technology Schools in California

Jobs for Data Processing Technology Grads in California

There are 85,270 people in the state and 439,380 people in the nation working in Data Processing Tech jobs.

Data Processing Technology Jobs Nationwide vs. CA

Wages for Data Processing Technology Jobs in California

A typical salary for a Data Processing Tech grad in the state is $136,310, compared to a typical salary of $116,700 nationwide.

Data Processing Technology Wages Nationwide vs. CA

Our data covers 2 colleges in California offering Data Processing Tech degrees. Learn about the most popular 2 below:

One year after graduating, alumni of this school earn a median of $59,470 a year. With an admission rate of 51%, getting in takes some planning. 80% of full-time students return after their first year.

One year after graduating, alumni of this school earn a median of $66,881 a year.

Data Processing Technology Careers in CA

Some of the careers Data Processing Tech majors go into include:

Job Title Nationwide Job Growth Nationwide Median Salary
Penetration Testers 7% $93,800
Blockchain Engineers 5% $123,667
Web Administrators 1% $62,692
Computer Occupations, All Other 0% $159,837
Document Management Specialists -1% $147,490
Computer Systems Engineers/Architects -2% $140,795
Geographic Information Systems Technologists and Technicians -2% $82,846
Information Technology Project Managers -3% $124,655
Information Security Engineers -4% $142,543
Digital Forensics Analysts -4% $119,226

Below are some popular majors that are similar to Data Processing Tech.

Major Annual Graduates Nationwide
General Computer Science 79,857
General Computer Science 67,926
General Information Science 22,425
Computational Science 2,395
Cyber/Computer Forensics and Counterterrorism 2,377
Human Computer Interaction 2,298
Bioinformatics 1,336
Computational Biology 321

View all majors related to Data Processing Technology

View Nationwide Data Processing Technology Report

References

More about our data sources and methodologies.

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