Online degree BSc (Hons) Cyber Security

• Operating systems, computer networks, and distributed systems
  Get to know different operating systems, understand the OSI model and TCP/IP protocol stack, familiarise yourself with key IP-based protocols and services, and contrast different architectures for distributed systems. You'll compare various mobile communication networks and discuss essential challenges and solutions for internet security.

• Introduction to programming with Python
  Develop a foundational understanding of the Python programming language. Learn about Python’s role in data science-related programming and advanced programming concepts like variables, data types, and statements.

• Mathematics: analysis
  Learn the fundamentals of differential and integral calculus and understand their related concepts. This module builds skills to formulate and solve various science and technology-related problems.

• Statistics - probability and descriptive statistics
  Learn the essentials of probability and descriptive statistics. Explore random variables, probability density distributions and key statistical concepts. Understand inequalities and limit theorems.

• Collaborative work
  Build key interdisciplinary competency to develop connections and navigate networking opportunities. Learn about:

  • collaborative learning and working practices

  • constructive cooperation with others

  • creative thinking

  • empathy

  • emotional intelligence.

• Fundamentals of data protection and cyber security
  Dive deep into the world of cyber security and data protection as you explore the cornerstones of security, the mechanisms of cyber security, and the principles of safeguarding personal data. Learn to differentiate between user verification and validation methods, implement effective cyber security practices, and protect networked systems.

• Introduction to network security
  Discover how to analyse network events to identify attacks. Get a handle on internet protocols, encryption, and learn to use tools like Intrusion Detection Systems and analysis with SIEMs. Explore the layers of protocols such as TCP/IP, HTTP, and more.

• System pentesting basics
  System penetration testing is a vital tool in uncovering IT system vulnerabilities. Learn about the relevant components of modern IT systems that could be exploited, common attack vectors and the pivotal role of "pentesters" in boosting our digital world's security.

• Introduction to academic work for IT and technology
  Develop an understanding of scientific thinking and academic work, with a focus on how to apply theories, methods, and models related to IT, and how to produce independent academic papers by analysing and classifying different sources of literature.

• Algorithms, data structures, and programming languages
  Delve into the core of programming – selecting appropriate algorithms and data structures to complete specific tasks and translating them into efficient program code. Broaden your understanding of different programming languages, paradigms, and how they interact with these core elements.

• Theoretical computer science and mathematical logic
  Explore key concepts at the heart of applications such as Structured Query Language (SQL) queries. You’ll examine the difference between propositional and predicate logic. And experiment with Petri nets or define the P-NP problem.

• Secure software development
  Learn how to make design choices that prioritise security and avoid common coding errors. Develop the skills to manage the secure software lifecycle, establish rigorous security testing, and handle vulnerability disclosures, arming you with the ability to fortify software against potential threats.

• Cryptography
  Hash functions, One-Time Pad, symmetric and asymmetric methods. Sounds like a different language? Analyse the various cryptographic processes so you’re equipped to protect critical data in today’s online society.

• Host and digital forensics
  Enter the world of system forensics analysis and learn how to handle security incidents by evaluating and collecting evidence. Explore malware analysis through sandboxing and reversing techniques.

• Elective A (see Electives A section below)

• Elective A (see Electives A section below)

• Information security standards
  Develop your skills to distinguish required security controls, critically analyse and appraise Information Security Management Systems, ensuring both digital and non-digital assets of an organisation are securely managed.

• Seminar: ethical considerations in data science
  This module explores ethical issues in relation to data science methodologies and techniques which are an everyday part of contemporary life. Develop skills, knowledge and understand how to practice ethical data science.

• Elective B (see Electives B section below)

• Elective B (see Electives B section below)

• Elective C (see Electives C section below)

• Elective C (see Electives C section below)

• Undergraduate (bachelor) thesis
  Apply the subject-specific and methodological competencies learned throughout your course to present an academic dissertation. You’ll also learn how to tackle a practical-empirical or theoretical-scientific problem.

• IT law
  Learn how to navigate through contracts, respect intellectual property rights, handle copyright, software patent issues, grasp the core ideas of data protection, and assess the different approaches to IT law across regions like the European Union, the United States, and India.

• Intercultural and ethical decision-making
  Gain the skills to understand intercultural competencies, diversity, and ethics development. Plan and implement learning processes in these areas by creating a case study.

• Artificial intelligence
  From looking at the history of AI to modern AI systems, artificial intelligence has captured our attention for decades. Explore the successes and setbacks of AI and find out how you can be a part of its rapid-growing development.

• Project: AI excellence with creative prompting techniques
  Immerse yourself in generative AI as you explore and apply prompting techniques. Create AI-generated content and assess the effectiveness of your prompts. Refine those skills in real-world scenarios while considering the ethics of the design and use of AI for basic prompting techniques.

• Social engineering and insider threats
  Learn the tactics of social engineering and insider threats in IT systems, developing your skills in detecting and counteracting the vulnerabilities these methods expose. Learn to design effective technical and organisational security policies, use advanced tools for network monitoring, and apply response measures to recover from incidents.

• Project: social engineering
  Step into the thrilling frontier of combating social engineering attacks and insider threats to enterprise IT systems. From delving deep into the 'Human Factor' to deploying technical tools, develop robust security policies and awareness campaigns.

• Self-arranged internship I (*)

  Gain practical and analytical skills by securing and completing an internship, enhancing your employability. In preparation tutorials, explore workplace dynamics and set personal goals for your placement.

• Self-arranged internship II (*)

  Building on your first experience, this self-arranged internship lets you apply academic skills in a real-world entrepreneurial setting. Focus on refining your communication, problem-solving, and time management skills.

*You'll be responsible for arranging a suitable internship for your field of study. Once arranged, please complete an application to the internship module via myCampus, to make sure your internship can be recognised and credited towards your course requirements.

Data analysis and business intelligence

• Advanced data analysis
  Get up to speed with the many analytics platforms widely used in business today. This module looks at everything from measuring business performance to text mining, from social media analytics to the current trends in experimental design and setup.

• Project: data analysis
  It’s time to put your data analysis techniques and knowledge to the test in the real world. Develop a report as you apply advanced data analysis to simulate work in a professional data science environment.

IT operations and project management

• IT service management
  Learn about the IT services that keep IT systems running. This module builds knowledge and expertise to provide IT services to organisations, mainly based on the IT Infrastructure Library (ITIL).

• Project: IT service management
  Take the opportunity to analyse and evaluate certain aspects of IT service management within a project framework. You can apply the theory you have learnt to propose practical solutions to company-specific situations.

Software engineering

• Techniques and methods for agile software development
  What does No-Frills Software Engineering involve? How do Agile techniques help project teams? And what is a SCRUM? Gain a deeper insight into Agile software development with a focus on testing, delivery and deployment.

• Project: agile software engineering
  Build on your knowledge of Agile software development by working on your own project with supervision. You’ll tackle a specific problem, researching the tools and techniques needed and documenting your results.

Cloud programming and computing and data engineering

• Cloud programming
  Make your mark in the cloud. As you plan, create, test, and document a scalable cloud service, you'll get to delve into how a cloud system's elements are formed and measured. This module also guides you to assess the risks, protective measures, and responsive actions of a cloud service and explore its various use dimensions

• Cloud computing
  An introduction to cloud computing, its enabling technologies, and analytics capabilities. Learn about cutting-edge advances like serverless computing, storage, and popular cloud offerings.

Future threats and IT security consulting

• Requirements engineering
  Defining the technical requirements for an IT system is one of the major steps in software development. Explore the techniques in documenting procedures and learn to apply them in business.

• Threat modelling
  Learn how to evaluate potential threats during the creation of system architecture, and how you can model these threats using standard modelling methodologies. Understand relevant techniques, tactics, and procedures you can use to calculate associated risks and discuss design changes to mitigate those risks.

Pentesting and host forensics

• Principles of ethical hacking
  Immerse yourself in the intriguing world of ethical hacking, understanding the importance it holds in testing security measures and identifying forgotten security issues. Learn to develop and execute penetration testing campaigns, organize bug bounty programs, and write targeted, effective reports, all within ethical and legal frameworks.

• Project: pentesting
  Conduct a full-scale penetration test on a business-like environment. Use the test to discover vulnerabilities, understand the tools and methods to combat them, and deepen your understanding of this vital process for identifying system weaknesses before an attacker does.

Data analysis and business intelligence

• Business intelligence
  This module introduces the procedures and models for data provision, information generation and analysis. Build skills in data warehousing and develop techniques to optimise business activities.

• Project: business intelligence
  This module introduces the procedures and models for data provision, information generation and analysis. Build skills in data warehousing and develop techniques to optimise business activities.

IT operations and project management

• IT project management
  This module provides fundamental IT project management concepts. Learn about project management and organisation, develop cost-management skills, and solve IT project management problems.

• IT architecture management
  This module defines a future blueprint for particular IT developments, including service strategies and available technologies for IT service providers.

Software engineering

• Seminar: software engineering
  Develop your research skills by exploring a current software engineering topic. As you progress, look for key points and connections and present your independent findings in a written paper.

• Project: software development
  Here’s your chance to apply your software development skills to a real-life problem. You could come up with a mobile or web app, a set of microservices or some embedded software – use your creativity to make a difference.

Cloud programming and computing and data engineering

• Data engineering
  Explore the important foundational concepts in data engineering: storage infrastructure, data security, systems architecture, developments in storage technology, and the logic of data pipelines.

• Project: data engineering
  Create your own portfolio by working on a real data engineering project. Perhaps you’ll want to set up a Docker container environment. Or how about building a data pipeline according to DataOps principles? The choice is yours.

Future threats and IT security consulting

• Technical and operational IT security concepts
  Confidentiality, integrity and availability are key issues in today’s IT systems. As well as learning how to evaluate an IT network, you’ll develop protection profiles, design monitoring tools and interpret Big Data.

• Project: configuration and application of SIEM systems
  With help from a tutor, you’ll take on the challenging task of implementing a Security Incident Event Management tool in an enterprise IT environment. Look at the data sources and formats, and learn to convert technical data into operational information.

Pentesting and host forensics

• Static and dynamic malware analysis
  Equip yourself with the skills to uncover an attacker's methodology and intentions, through the analysis of malware, a significant source of cyberattacks. Learn what a secure malware analysis environment looks like and how to interpret sandbox reports.

• Seminar: sandbox interpretation
  Unveil potential attacks through the key tool in malware analysis - the sandbox. Learn how to draw valuable conclusions from sandbox logs, extract critical indicators of compromise, and determine the malware's mode of operation, enhancing your investigative abilities.

You can find more details about your BSc (Hons) Cyber Security course in these PDF files:

• Online programme schedule: BSc (Hons) Cyber Security

• Programme specification: BSc (Hons) Cyber Security

• Once enrolled, you will be expected to meet LIBF's policies and standards.

• LIBF has Taught Degree Awarding Powers (TDAP).

Yes! With our online BSc (Hons) Cyber Security programme, all lessons and exams are 100% online So, there’s no need for you to come to London at any stage.

You’ll study in a virtual learning environment that uses the latest learning technology and benefit from innovative multimedia tools and study materials, including:

• lecture notes

• learning videos

• revision courses

• online consultations, and

• live sessions with lecturers.

We also incorporate up to date reports and case studies from industry into our courses.