DATA RECOVERY/FORENSICS SPECIALIST

Enroll in Highline Community College’s Data Recovery/Forensics Specialist program and you will learn the practical skills you need to succeed in this exciting career. Whether you are new to the field or want to build additional skills for your current job, Highline’s AAS degree or certificate will help get you there.

The Data Recovery/Forensics Specialist program prepares students for entry-level positions in data recovery services at businesses, government, and law enforcement agencies. Experienced teachers help students learn to perform computer forensics analyses, and to examine how malicious code behaves on networks.

Data Recovery/Forensics Specialist program graduates coordinate and implement an organization’s information security plan. They may hold roles such as data recovery/forensics specialist or computer security specialist.

RESPONSIBILITIES

Data Recovery/Forensics Specialists use hardware and software tools to recover lost or corrupted data from hard drives and other storage media. They use forensics techniques to determine the reason for data loss. They may also monitor the network for security breaches, respond to cyber attacks, and in some cases, gather data and evidence to be used in prosecuting cyber crimes.

Do you like unraveling mysteries? A career in data recovery/forensics may be for you. Careers in this field also demand strong problem-solving, analytical and communication skills. People who choose careers in data recovery/forensics have strong writing skills and enjoy applying new technology.

 PROGRAM OPTIONS

Associate of Applied Science

Graduates will learn specific job skills as well as communication skills, computational skills, applied sciences, computer literacy, human relations and social science. The AAS can be completed in two years with full-time attendance.

Short Certificate - 25 credits

Certificate programs emphasize preparation in specific job skills required for entry-level employment.

AAS/Certificate Courses

CIS Course Descriptions
Computer Science Course Descriptions