University of Roehampton ; University of Huddersfield ; University of Birmingham ; MSc Data Science, Technology, and Innovation ; MSc Data Science for Health and Social Care ; MSc Data and Decision Analytics ; MSc Cyber Security ; Master of Business Administration (Artificial Intelligence)
University of Roehampton ; University of Huddersfield ; University of Birmingham ; MSc Data Science, Technology, and Innovation ; MSc Data Science for Health and Social Care ; MSc Data and Decision Analytics ; MSc Cyber Security ; Master of Business Administration (Artificial Intelligence)
MSc Cyber Security ; MSc Advanced Computer Science ; MSc Computer Science ; MSc Data Science and Analytics ; MSc Computer Science with Artificial Intelligence ; Cyber Security and Digital Forensics MSc ; MSc Computer Science with Cyber Security ; MSc Software Engineering ; MSc Artificial Intelligence ; MSc Computer Science with Software Engineering
MSc Cyber Security ; Master of Business Administration (Artificial Intelligence) ; Cyber Security and Digital Forensics MSc ; University of Birmingham ; University of Huddersfield
Cyber Security and Digital Forensics MSc ; University of Birmingham ; University of Huddersfield ; MSc Cyber Security Management
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Related subjects - degree programmes in London: ; Applied Computing 36 · Creative Computing 8 · Computer Forensics 10 ; Artificial Intelligence 15 · Business Computing 11 · Business Information Systems 4
Apply fundamental computer science professional practices to analyze, design and implement systems. ; Apply knowledge of advanced topics in cybersecurity engineering and in computer science. ; Communicate effectively on issues pertaining to computer science and cybersecurity.
Build Technical Skills: ; a. Learn Computer Science Fundamentals: Gain a strong foundation in computer science, including operating systems, partition schemes, file systems, windows artifacts, and report writing. ; b. Develop Data Acquisition Knowledge: Understand common forensic imaging concepts, including encryption, data structures, and local and remote network collections. ; c. Study Digital Forensics: Acquire knowledge in digital forensics tools and techniques, such as data recovery, file analysis, and evidence preservation.