Computer Science

Cyber Security And Artificial Intelligence

In this module, you will learn some fundamental mathematical principles of artificial intelligence and machine learning and learn and practice several techniques for building and testing machine learning models. You will also learn about the principles of an Artificial Neural Network and be able to articulate the operation of the fundamental components and how they interact. You will learn about evolutionary algorithms, techniques for building adaptive and self-learning ML models. You will also learn about how machine learning can be applied to search for optimal solutions using multiple agents. You will also learn fundamental principles of cyber security, as well as how these fit into the wider computing landscape. You will also learn about core cyber security technologies and techniques, and how these are used to secure a wide range of computational systems and networks.

Module code: COMP40085

Computing Project

This module will introduce to you real-world computing problems that exist in the business world. Case studies are extensively used in order you work within a team to investigate a problem and look to find best solutions from several options. In doing so you will develop both project management and research-based skills which will benefit you throughout your course. To help in your learning you will be provided accepted theory and approaches that you will attempt to put into practice. You will work within realistic teams with dedicated roles and will experience real world activities and tasks. Part of the module also focuses on careers and the requirements to gain the knowledge of background requirements within industry.

Module code: COMP40084

Programming Concepts

In this module, you will begin an exciting journey of discovery that will lay the programming foundation for both your academic and professional career. You will focus on designing and developing programs in a current language, such as Java or Python, and web applications in HTML, CSS and JavaScript. On the way, you will also learn about analysing problems, modelling solutions, and testing programs. You will also experience industry-standard methods, and tools to develop applications.

Module code: COMP40086

Cloud And Network Technologies

This module is intended to equip you with not only the knowledge but also the practical skills to be able to create and understand an enterprise grade network. The Syllabus incorporates the content of the Cisco CCNA qualification (Network fundamentals and routing/switching fundamentals). You will look at the transition which is taking place of moving corporate data and infrastructure to a Cloud based environment and ensuring that this meets the requirements of local legalization and locally defined security requirements. This module will make use of the Amazon Web Services (AWS) Academic Learning Environment to allow students to build confidence in Cloud computing.

Module code: COMP40083

Full Stack Development

This module will show you how to build full stack applications including the use of current client and server frameworks to build applications. You will evaluate the most appropriate framework for a given situation and assess the impact this has on developers and end-users. You will also look at how frameworks and libraries can help you access data from a variety of sources. It will also extend your programming knowledge for client and server-side applications.

Module code: COMP50119

Ai Algorithms And Machine Learning

In this module, you will learn how to build and evaluate practical machine learning solutions to real-world problems. You will explore a range of core supervised and unsupervised algorithms, learn how to prepare and model data using contemporary tools, and develop the skills needed to compare, tune and justify different approaches. Through a combination of hands-on labs and an individual project, you will design complete machine learning pipelines, critically evaluate model performance, and communicate your findings in a way that aligns with professional AI and data science practice.

Module code: COMP50113

Networking Architecture

On this module you will learn why routing and switching are considered as part of the core of networking. Once the network is designed well for these technologies other features such as security can then be built upon this. This course will look in detail at the choices within routing and switching to see why design decisions are made and for you to understand these choices. The emphasis of this course will be from the viewpoint of a medium to large scale organisation.

Module code: COMP50121

Data Structure And Algorithms

In this module, you will learn about further coding, data structures and algorithms, and practice these principles by producing applications. The module has a heavy focus on being hands on so you will be exposed to many simulation and case study exercises to trial out and develop your skills. Allied to practical hands-on activity you will also develop your evaluation skills.

Module code: COMP50116

Software Testing And Assurance

Within this module you will explore computing systems and development from an evaluation perspective. In doing so you will familiarise yourself on criteria that can form a testing benchmark. In establishing this you will then through case studies review applications to build a context on what needs and can be tested. Formally you will devise test plans and use these to test actual applications for their effectiveness. The module takes a strong basis on the Agile lifecycle.

Module code: COMP50122

Ethical Hacking

In this module, you will develop the practical skills required to work as an ethical hacker and penetration tester. You will learn to think like an attacker, using the same tools and techniques employed by malicious hackers, but within strict legal and ethical boundaries to help organisations identify and fix their security weaknesses.

Module code: COMP50118

Digital Forensics Fundamentals

Ever wondered what are the key elements in Digital Forensics? Well in this module, you will learn the principles and practice of digital forensic investigation, focusing on how digital evidence is acquired, analysed, and presented in a forensically sound manner. You will explore forensic methods across a range of digital platforms, including computers and mobile devices, and gain practical experience using industry-standard tools and techniques. The module develops both technical and professional skills required for digital forensic investigations in legal and organisational contexts.

Module code: COMP50117

Computing Teamwork, Professional Practice And Business Analysis

In this module, you will develop professional skills required for computing roles by analysing organisational problems and working collaboratively to design and justify digital solutions. You will explore business analysis techniques, system modelling, and project management approaches while applying professional and ethical standards. The module emphasises teamwork, professional judgement, and employability, preparing you for industry-focused computing roles and further study.

Module code: COMP50115

Dtib Industrial Placement

Module code: PLAC00002

Advanced Computer Science: Emerging Technologies And Contemporary Practice

In this module, you will explore advanced and emerging areas of computer science through independent, research-led investigation. You will critically examine contemporary technologies, evaluate their technical and societal impact, and identify future challenges and opportunities. The module develops advanced research, analysis, and communication skills, preparing you for postgraduate study or professional roles in rapidly evolving areas of computing.

Module code: COMP63053

Advanced Ai - Data Systems & Distributed Applications

In this module, you will advance your skills in building data-intensive distributed applications that operate across networks and serve multiple users. You will design and implement robust services that consume real-time data and integrate data-systems and AI-enabled components. You will also evaluate key distributed systems trade-offs such as concurrency, scalability, fault tolerance, and security. You will finally justify your design decisions using professional, evidence-based reasoning.

Module code: COMP63052

Final Year Project

This is your opportunity to create something totally unique as the culmination of your course. It is your chance to define your difference, no two projects are ever the same. You will begin by developing an idea into a proposal, outlining the intention of the work. You will then develop this into an artefact suitable for your course, such as a piece of software, a specification or a code of practice by undertaking rigorous, professional academic research techniques and applying the summation of your knowledge and skills from your course, work experience, if possible, and personal development. All of this work will be presented in a professionally produced, academic report detailing your findings and reflections on your achievement.

Module code: COMP63059