Loughborough University

What you'll study

The programme integrates cyber security fundamentals with practical and theoretical data-analytics methods. You will study topics such as network and systems security, applied cryptography, secure software development, threat detection and response, and digital forensics, alongside modules in machine learning, statistical modelling, data mining and big-data processing as applied to security problems.

• Core cyber security modules — secure architectures, network security, intrusion detection, vulnerability assessment and incident response.
• Data analytics modules — supervised and unsupervised learning, feature engineering, anomaly detection, time series analysis and scalable data processing frameworks.
• Specialist topics — malware analysis, threat intelligence, privacy-preserving analytics, and security of emerging technologies such as cloud and IoT.
• Professional skills — secure coding practices, risk management, legal and ethical aspects of cyber security and data handling, and communication of technical findings to non-technical stakeholders.
• Individual research project / dissertation — a substantial piece of work in which you apply analytical and technical skills to a realistic cyber security problem, often developed in collaboration with industry or research groups.

The delivery typically uses a mix of lectures, hands-on laboratory sessions in security and data labs, group work, and a supervised project. Assessment is by coursework, practical assignments, exams and the final dissertation.

Entry requirements

Applicants are normally expected to hold a good honours degree (or equivalent) in computer science, cybersecurity, electronic engineering, mathematics, statistics or a closely related discipline. Candidates with relevant professional experience or demonstrated quantitative skills may also be considered.

• Academic background — a solid grounding in programming, discrete mathematics or statistics, and basic computer systems is expected.
• Experience — practical experience with programming (e.g. Python, Java, C++) and familiarity with databases, networking or operating systems is advantageous.
• English language — applicants whose first language is not English will need to meet the university's English language requirements.
• Application materials — a personal statement outlining motivation and relevant experience, transcripts, and references are required. Shortlisted applicants may be asked to attend an interview or provide a coding/sample work exercise.

Career prospects

Graduates leave equipped to work across both cyber security and data science roles. Typical career paths include positions such as:

• Security analyst / security operations centre (SOC) analyst
• Threat intelligence analyst and incident responder
• Data scientist or machine learning engineer with a security focus
• Digital forensics investigator and malware analyst
• Security consultant, penetration tester or secure software developer
• Risk and compliance analyst or security architect roles in industry, finance, government and consultancy

Graduates also go into research or PhD study in areas such as cyber security analytics, privacy-enhancing technologies and adversarial machine learning. The combination of security domain knowledge with analytics skills is in demand across technology firms, critical infrastructure operators, defence and intelligence agencies, financial services and professional services firms.

Why study at Loughborough University

Loughborough offers a strong, applied approach to cyber security and data analytics within a well-resourced campus environment. You will benefit from dedicated computing and security laboratories, opportunities to work on industry-relevant projects, and active collaboration between teaching staff and research groups.

• Applied learning — emphasis on hands-on labs and practical assessments that mirror real-world security and analytics tasks.
• Industry engagement — regular employer talks, networking events and opportunities to undertake projects informed by commercial and public-sector partners.
• Student support — careers and employability services tailored to technology and security careers, plus mentoring and skills workshops.
• Multidisciplinary environment — access to expertise across departments including computer science, electronic engineering and mathematics, supporting a broad view of security and analytics challenges.

These strengths make Loughborough a suitable place to develop the technical, analytical and professional skills needed for a career at the intersection of cyber security and data analytics.