Computational Forensics, BS

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The BS program 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.

At A Glance

Computational Forensics, BS

Required Courses

A major map outlines a major's critical requirements, courses, and optimal course sequence and aids students in remaining on track to graduation.

While circumstances vary between students and their paths towards graduation (utilizing placement testing to fulfill required math or foreign language courses, fulfilling multiple General Studies requirements with one course, etc.), completing the courses listed in a major map fulfills all of the requirements for graduation.

Application requirements

All students are required to meet general university admission requirements:

Affording college

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WUE eligible program
Undergraduate students from western states who enroll in this program are eligible for a discounted tuition rate.

Financial Aid
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.

Career outlook

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 program prepares students for employment in a range of jobs or to continue on to advanced study of quantitative programs in graduate school.

Example careers

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:

Career*growth*median salary
Biostatisticians 33.8%$84,060
Computer and Information Research Scientists 19.2%$114,520
Forensic Science Technicians 16.8%$57,850
Statistical Assistants9.2%$47,400
Computer and Information Systems Managers 12%$139,220
Mathematical Science Occupations, All Other 11%
Mathematical Technicians7.8%
Software Developers, Applications 30.7%$101,790
Statisticians 33.8%$84,060

* Data obtained from the Occupational Information Network (O*NET) under sponsorship of the U.S. Department of Labor/Employment and Training Administration (USDOL/ETA).

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