

BSc Computer and Digital Forensics
About this course
Computer and Digital Forensics is the discipline concerned with the recovery, analysis and presentation of digital evidence from computers, networks, mobile devices and cloud systems in ways that can withstand scrutiny in legal and investigative contexts. As crime increasingly involves digital components, from cybercrime and online fraud to terrorism and child exploitation, the ability to extract and interpret digital evidence has become one of the most important capabilities in law enforcement and corporate security. The field requires both technical depth in computing and a rigorous understanding of legal frameworks, evidence handling, and the methodologies that make digital evidence admissible. At Teesside University, this part-time programme develops your understanding of digital forensics, network security, and the technical and legal dimensions of digital investigation. You will study network design and security architecture, the principles of digital evidence collection and preservation, file system analysis, malware investigation, and the legal and ethical requirements that govern how digital forensic work is conducted. Hands-on experience with network simulation software and forensic tools is integral to the programme, giving you the practical skills that the profession demands alongside the theoretical understanding needed to explain your methods and findings clearly. Graduates of Computer and Digital Forensics programmes work in law enforcement digital investigation units, the National Crime Agency, corporate security and risk management, incident response, e-discovery in legal settings, and cybersecurity consultancy. The growth of cybercrime and the increasing volume of digitally generated evidence mean that demand for qualified digital forensics professionals is growing steadily. Many graduates also pursue further professional certifications or postgraduate study in cybersecurity, digital forensics, or information security.
Syllabus & Modules
Typical curriculumStudent Satisfaction
Missing Satisfaction Data
The university has not shared complete student satisfaction records for this specific degree metrics block. You may want to formally explore these topics with the university staff at an open day before committing.
What comes next? π
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai β