STUDY

This module covers the principles of computer systems, hardware components, the essence of operating systems, and relevant computing-related mathematics. This module will provide the foundational underpinning to enable students to progress deeper into different computing specialisms, and a grasp of the history of computing, recent developments and its possible future. 

This module introduces the concepts of communications and networking. It explores the Open Systems Interconnectivity (OSI) 7-layer reference model and TCP/IP Routing Suite (the 5-layer Internet reference model). TCP/IP is the model which is most commonly deployed in the majority of modern-day networks.

The module introduces the concepts of web design, with a focus on designing responsive websites that are targeted at mobile platforms. Students are introduced to HTML, CSS and JavaScript to provide them with an understanding of what goes into the front-end of modern websites. Using a series of case studies, students will analyse the design and layout of a range of existing sites using a number of common analysis techniques.

This module introduces students to the concepts and practice of computer programming.  It is aimed at providing students with an understanding of the fundamentals of computer programming by having them work through a range of tasks focused on layout, structure and functionality.

This module provides an understanding of why cyber security matters to businesses, to society and to individuals, coupled with knowledge of basic concepts, attack techniques, attacker types, and the core elements of cyber assurance.

This module provides an introduction to the artificial intelligence and data science fields, covering the history of the discipline, and exploring a variety of “classical AI” topics.

This module focuses on all phases of the modern software engineering lifecycle and advanced software engineering topics, including critical software, secure software, formal methods and project management from the practitioner’s perspective. This will be put into practice through the requirements gathering, design, implementation and testing of an extensive project that meets the needs of a particular enterprise.

This module provides essential knowledge and appreciation of the role of relational database systems, including basic principles and practice of design, implementation and development for both system designers and software engineers. It will include practical exercises in Structured Query Language. 

Research skills are an essential set of capabilities in the toolkit of a professional software engineer. In this module, students will develop knowledge and understanding of the purpose, processes, methods (surveys, experiments, interviews, case studies, etc.), analysis (qualitative and quantitative), and outputs of research and will be able to apply them. This module also delves into the professional, legal and ethical standards and guidelines that inform and guide best practice in business and computing.

This module focuses on data structures (e.g. linked lists, trees, heaps, hash tables, etc), algorithms (sorting, searching, dynamic programming, greedy, graph, geometric, cryptographic, string matching and compression algorithms, etc), and advanced programming techniques and other language paradigms.

Software, networks and databases do not exist in isolation, but form part of systems. Few systems are purely technical, but are socio-technical and info-socio-technical in nature, where human beings may be central or peripheral to the system, yet be the weakest link in their security. This module introduces, in the context of cyber security, system thinking and human behaviour, and how social engineering and open-source intelligence may be used in both attack and defence of systems and individuals.

This module covers basic and advanced security concepts related to wired and wireless networks, and builds upon the network knowledge previously covered in Level 4 study. Students will learn about the main challenges faced by a variety of wired and wireless environments. Further, the module presents common defence techniques and tools used to counter different security threats, and also explores some of the latest network security challenges posed by recent technology developments.

The module provides the opportunity for students to apply and develop some of the knowledge and skills acquired in their degree by engaging in a significant project in a specialist area of computing, typically software or networks. It will enable and require students to utilise practical, intellectual and decision-making skills in novel situations and develop their autonomy and self-direction. 

There has been a triple convergence of computing, communications and the physical world, leading to the creation of complex cyber-physical systems, a reliance on strong cryptography, and the need to instil security into software and cyber-physical systems in the face of an ever-evolving threat landscape.

Cyber security is now an executive-level concern in most organisations. Cyber security specialists will be required to deliver strategic value to their organisations by ensuring security is intrinsic to system architectures by design and by default, by applying appropriate standards in risk analysis, systems modelling and policy design, and scanning the horizon of emergent threat landscapes to discern new issues.

Cyber attacks are increasing in frequency and diversity with hostile actors probing for vulnerabilities, cooperating to develop exploits, and deploying these on an industrial scale. Many organisations are essentially under continuous attack from multiple actors. Eternal vigilance through monitoring and logging is essential for reactive and proactive responses. Inevitably some attacks will be successful and effective actions are required to handle these incidents, limit breaches, and collect evidence for investigation.

This covers the full range of skills and knowledge required for “Big Data” including parallel and NoSQL databases, statistical modelling and programming, machine learning, data analytics and visualisation. These skills are essential for making sense of security-related Big Data.

This module provides a systematic understanding of distributed operating systems, software services and applications in terms of their architectures, functionality and behaviour. It includes case studies on the “Internet of Things” and cloud computing as well as topics on parallel programming.

The module is intended to provide students with an understanding of development for mobile devices with a focus on the constraints of mobile hardware, including interface and networking. Students will learn to integrate input from hardware sensors and work with networked data and services.

This module covers the principles of computer systems, hardware components, the essence of operating systems, and relevant computing-related mathematics. This module will provide the foundational underpinning to enable students to progress deeper into different computing specialisms, and a grasp of the history of computing, recent developments and its possible future. 

This module introduces the concepts of communications and networking. It explores the Open Systems Interconnectivity (OSI) 7-layer reference model and TCP/IP Routing Suite (the 5-layer Internet reference model). TCP/IP is the model which is most commonly deployed in the majority of modern-day networks.

The module introduces the concepts of web design, with a focus on designing responsive websites that are targeted at mobile platforms. Students are introduced to HTML, CSS and JavaScript to provide them with an understanding of what goes into the front-end of modern websites. Using a series of case studies, students will analyse the design and layout of a range of existing sites using a number of common analysis techniques.

This module introduces students to the concepts and practice of computer programming.  It is aimed at providing students with an understanding of the fundamentals of computer programming by having them work through a range of tasks focused on layout, structure and functionality.

This module provides an understanding of why cyber security matters to businesses, to society and to individuals, coupled with knowledge of basic concepts, attack techniques, attacker types, and the core elements of cyber assurance.

This module provides an introduction to the artificial intelligence and data science fields, covering the history of the discipline, and exploring a variety of “classical AI” topics.

This module focuses on all phases of the modern software engineering lifecycle and advanced software engineering topics, including critical software, secure software, formal methods and project management from the practitioner’s perspective. This will be put into practice through the requirements gathering, design, implementation and testing of an extensive project that meets the needs of a particular enterprise.

This module provides essential knowledge and appreciation of the role of relational database systems, including basic principles and practice of design, implementation and development for both system designers and software engineers. It will include practical exercises in Structured Query Language. 

Research skills are an essential set of capabilities in the toolkit of a professional software engineer. In this module, students will develop knowledge and understanding of the purpose, processes, methods (surveys, experiments, interviews, case studies, etc.), analysis (qualitative and quantitative), and outputs of research and will be able to apply them. This module also delves into the professional, legal and ethical standards and guidelines that inform and guide best practice in business and computing.

This module focuses on data structures (e.g. linked lists, trees, heaps, hash tables, etc), algorithms (sorting, searching, dynamic programming, greedy, graph, geometric, cryptographic, string matching and compression algorithms, etc), and advanced programming techniques and other language paradigms.

Software, networks and databases do not exist in isolation, but form part of systems. Few systems are purely technical, but are socio-technical and info-socio-technical in nature, where human beings may be central or peripheral to the system, yet be the weakest link in their security. This module introduces, in the context of cyber security, system thinking and human behaviour, and how social engineering and open-source intelligence may be used in both attack and defence of systems and individuals.

This module covers basic and advanced security concepts related to wired and wireless networks, and builds upon the network knowledge previously covered in Level 4 study. Students will learn about the main challenges faced by a variety of wired and wireless environments. Further, the module presents common defence techniques and tools used to counter different security threats, and also explores some of the latest network security challenges posed by recent technology developments.

The module provides the opportunity for students to apply and develop some of the knowledge and skills acquired in their degree by engaging in a significant project in a specialist area of computing, typically software or networks. It will enable and require students to utilise practical, intellectual and decision-making skills in novel situations and develop their autonomy and self-direction. 

There has been a triple convergence of computing, communications and the physical world, leading to the creation of complex cyber-physical systems, a reliance on strong cryptography, and the need to instil security into software and cyber-physical systems in the face of an ever-evolving threat landscape.

Cyber security is now an executive-level concern in most organisations. Cyber security specialists will be required to deliver strategic value to their organisations by ensuring security is intrinsic to system architectures by design and by default, by applying appropriate standards in risk analysis, systems modelling and policy design, and scanning the horizon of emergent threat landscapes to discern new issues.

Cyber attacks are increasing in frequency and diversity with hostile actors probing for vulnerabilities, cooperating to develop exploits, and deploying these on an industrial scale. Many organisations are essentially under continuous attack from multiple actors. Eternal vigilance through monitoring and logging is essential for reactive and proactive responses. Inevitably some attacks will be successful and effective actions are required to handle these incidents, limit breaches, and collect evidence for investigation.

This covers the full range of skills and knowledge required for “Big Data” including parallel and NoSQL databases, statistical modelling and programming, machine learning, data analytics and visualisation. These skills are essential for making sense of security-related Big Data.

This module provides a systematic understanding of distributed operating systems, software services and applications in terms of their architectures, functionality and behaviour. It includes case studies on the “Internet of Things” and cloud computing as well as topics on parallel programming.

The module is intended to provide students with an understanding of development for mobile devices with a focus on the constraints of mobile hardware, including interface and networking. Students will learn to integrate input from hardware sensors and work with networked data and services.