The BS in computational forensics is a multidisciplinary degree program that encompasses areas of physical, biological and social sciences, with an additional focus on statistics and computation.Students investigate specific forensic problems using statistics, computing and mathematics, with the main goal of advancing their forensic science knowledge and capabilities. Students study and develop the quantitative and computational methods that assist basic and applied research efforts in forensic science, establish or prove scientific basis in investigative procedures, and support forensic examiner casework. Through modeling, computer simulations and computer-based analysis and recognition, students gain an in-depth understanding of the forensic science discipline, the scientific method and the systematic approach to forensic science.
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A major map outlines the degree’s requirements for graduation.
All students are required to meet general university admission requirements:
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ASU has many financial aid options. Almost everyone, regardless of income, can qualify for some form of financial aid. In fact, more than 70 percent of all ASU students receive some form of financial assistance every year.
The demand for forensic scientists is increasing according to the U.S. Bureau of Labor Statistics. With computation and statistics driving many technological advances, this interdisciplinary degree prepares students for employment in a range of jobs or to continue on to advanced study of quantitative programs in graduate school.
Students who complete this degree program may be prepared for the following careers. Advanced degrees or certifications may be required for academic or clinical positions. Career examples include but are not limited to:
|Computer and Information Research Scientists||19.2%||$114,520|
|Forensic Science Technicians||16.8%||$57,850|
|Computer and Information Systems Managers||12%||$139,220|
|Mathematical Science Occupations, All Other||11%|
|Software Developers, Applications||30.7%||$101,790|
* Data obtained from the Occupational Information Network (O*NET) under sponsorship of the U.S. Department of Labor/Employment and Training Administration (USDOL/ETA).