Computer Science

Computer science with a specialisation in cyber security combines a rigorous technical education in computing with focused study of how digital systems can be attacked and how they can be defended. Computer science provides the foundational knowledge of algorithms, programming, networks, operating systems, and software engineering that underpins all serious technical work in cybersecurity. The cyber security strand develops specific skills in areas such as cryptography, penetration testing, network security, malware analysis, and digital forensics, giving you both the broad technical literacy of a computer scientist and the specialised knowledge of a security professional.

At the University of Newcastle Upon Tyne, you will study this three-year full-time degree with a sandwich year, a year abroad, and work placement opportunities. The sandwich and placement years give you extended professional experience in computing or security roles, while the year abroad provides international exposure in a field where threats and defences are inherently global. You will develop strong programming skills, a deep understanding of how computer systems and networks function, and specific knowledge of the security principles, tools, and techniques used in both offensive and defensive security work.

The ability to think like an attacker, understanding how systems fail and how vulnerabilities can be exploited, is a central skill that the programme develops alongside defensive expertise.

Cybersecurity graduates from Newcastle are well placed for careers as security analysts, penetration testers, software engineers with a security specialism, incident responders, digital forensics analysts, and security consultants. The sector-wide shortage of qualified cybersecurity professionals means that demand for graduates consistently exceeds supply. Further study options include postgraduate degrees in cybersecurity, computer science, and information security, as well as professional certifications that support career progression in specific areas of the field.