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Law Enforcement Computer Science Jobs in California

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Law Enforcement Computer Science information

See California salary details

$35K

$87.7K

$134.7K

How much do law enforcement computer science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for law enforcement computer science in California is $87,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,200.00 per year, depending on experience, location, and employer.

Does the FBI hire computer scientists?

Yes, the FBI hires computer scientists for roles in cybersecurity, digital forensics, and cyber operations. These positions often require relevant degrees, security clearances, and skills in programming, network security, and data analysis.

Can I become a police officer with a computer science degree?

Law enforcement agencies typically require candidates to have a high school diploma or equivalent, and many prefer or require some college education or a degree. A computer science degree can be advantageous for roles involving cybercrime investigation or digital forensics, but becoming a police officer usually also involves completing police academy training and meeting physical and background requirements.

Is computer science good for FBI?

Computer science is highly relevant for FBI roles, especially in cybercrime, digital forensics, and cybersecurity divisions. Skills in programming, network security, and data analysis are essential, and relevant certifications like CISSP or CEH can enhance job prospects within the agency.

What is law enforcement computer science?

Law enforcement computer science is a specialized field that combines principles of computer science with law enforcement practices. Professionals in this area use technology to investigate cybercrimes, analyze digital evidence, and develop software tools to support policing activities. They may work on tasks such as digital forensics, cybersecurity, crime data analysis, and the development of crime-fighting technologies. This field plays a critical role in modern policing by helping agencies prevent, detect, and solve crimes involving digital devices and networks.

How does a Law Enforcement Computer Science professional typically collaborate with investigative teams during a cybercrime case?

Law Enforcement Computer Science professionals work closely with investigative teams by analyzing digital evidence, tracing cybercriminal activities, and translating technical findings into actionable insights for detectives and prosecutors. They often participate in case briefings, help develop strategies for collecting electronic evidence, and provide expert testimony when needed. This collaborative environment requires strong communication skills and the ability to explain complex technical concepts to non-technical team members, ensuring seamless integration of digital investigations into broader law enforcement operations.

How does law enforcement relate to computer science?

Law enforcement computer science involves applying computing skills to investigate cybercrimes, analyze digital evidence, and develop cybersecurity measures. Professionals in this field often use tools like digital forensics software and require knowledge of networks, programming, and security protocols.

What is the difference between Law Enforcement Computer Science vs Cybersecurity Analyst?

AspectLaw Enforcement Computer ScienceCybersecurity Analyst
Required CredentialsComputer science degree, law enforcement training, certifications like CISSP or CEHComputer science or cybersecurity degree, certifications like CISSP, CEH, or CompTIA Security+
Work EnvironmentLaw enforcement agencies, government offices, field operationsCorporate offices, security firms, government agencies
Employer & IndustryLaw enforcement agencies, government sectorsPrivate companies, cybersecurity firms, government agencies
Common Search & ComparisonYesYes

Law Enforcement Computer Science professionals focus on applying computer science skills within law enforcement settings, often involving digital forensics and investigations. Cybersecurity Analysts primarily work to protect organizational systems from cyber threats. While both roles require similar technical credentials and certifications, their work environments and objectives differ significantly, with law enforcement roles emphasizing investigative work and cybersecurity roles focusing on threat prevention and security management.

What are the key skills and qualifications needed to thrive as a Law Enforcement Computer Science professional, and why are they important?

To thrive as a Law Enforcement Computer Science professional, you need a solid background in computer science, cybersecurity principles, and digital forensics, often supported by a relevant degree or certifications such as CISSP or CompTIA Security+. Familiarity with forensic analysis tools, network monitoring systems, and evidence management software is typically required. Strong analytical thinking, attention to detail, and effective communication help professionals excel in investigations and collaboration with diverse teams. These skills and qualities are crucial for ensuring the integrity of digital evidence and supporting successful law enforcement operations in increasingly technology-driven environments.
What are popular job titles related to Law Enforcement Computer Science jobs in California? For Law Enforcement Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Law Enforcement Computer Science jobs in California look for? The top searched job categories for Law Enforcement Computer Science jobs in California are:
What cities in California are hiring for Law Enforcement Computer Science jobs? Cities in California with the most Law Enforcement Computer Science job openings:
Law Enforcement Computer Science jobs near you
Infographic showing various Law Enforcement Computer Science job openings in California as of June 2026, with employment types broken down into 57% Full Time, 33% Part Time, 5% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $87,652 per year, or $42.1 per hour.
Adjunct Faculty in Computer Science

Adjunct Faculty in Computer Science

University of South Carolina

Los Angeles, CA

Part-time

Medical, Life, Retirement

Posted 3 days ago

Job description

Posting Summary
Logo Posting Number TMP00245PO24 Job Code Title Lecturer Advertised Title Adjunct Faculty in Computer Science Campus Sumter College/Division USC Sumter College/Division Level Department USC Sumter - Palmetto College Salary salary commensurate Location of Vacancy Part/Full Time Part Time Hours per Week 20 Work Schedule Job Search Category Faculty
About USC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Benefits for Temporary Positions
The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers temporary employees expected to work at least 30 hours per week health and life insurance, flexible spending accounts and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.
Position Description
Advertised Job Summary
USC Sumter is seeking an Adjunct Instructor in Computer Science to begin August 2024 to teach CSCE 101 (Introduction to Computer Concepts) and/or CSCE 102 (General Applications Programming). Courses may be fully online or in person in the Richland or Lexington area depending on instructor availability and preference. Minimum qualifications for this position include a Master's degree with at least 18 graduate hours in Computer Science. Teaching experience in secondary or post-secondary education desired. Experience teaching the above-named courses or their equivalent is a plus. This appointment is on a course-by-course basis. Salary is commensurate with education, experience and discipline.
Qualifications
Minimum qualifications for this position include a Master's degree with at least 18 graduate hours in Computer Science. Teaching experience in secondary or post-secondary education desired. Experience teaching the above-named courses or their equivalent is a plus.
Job Duties
Posting Detail Information
Number of Vacancies Desired Start Date Proposed End Date Job Open Date 01/24/2024 Job Close Date Open Until Filled No Special Instructions to Applicant
The University of South Carolina requires individuals to apply online for all job vacancies. You may access the USC Jobs Online Employment site at https://uscjobs.sc.edu.. An unofficial transcript must be attached in addition to the required application, cover letter, and vitae. If you have any questions about the application procedures, please call (803)938-3721. If you are hired to teach for USC Sumter, you will be required to submit an official copy of your transcripts. Review of credentials will begin immediately and will continue until the position is filled.
Quicklink for Posting https://uscjobs.sc.edu/postings/163112 EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

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