Computer Science

Study our common first year for all our computer science students, learning six core topics including operating systems, web development and Java.

• Introduction to Algorithms (15 Credits)

  This module will introduce you to some common problems in Computer Science and how you might go about selecting efficient solutions. Both iterative and recursive algorithms will be considered

• Mathematics for Computing (15 Credits)

  To provide students of differing mathematical backgrounds with the foundational mathematics to equip them for further studies in Informatics.

• Systems Architecture (15 Credits)

  This module will introduce you to the fundamentals of computer systems; understand the layers that make up a system, the interfaces and abstractions provided to different levels and how they interrelate.

• Programming in Java (30 Credits)

  This module aims to provide you with generally applicable (that is, applicable not only to Java but also to other languages) introductory object-oriented programming skills and concepts.

• Databases (15 Credits)

  This module introduces you to databases and database driven systems (back-end development) and to the practical and theoretical aspects of dynamic web applications (front-end development),

• Operating Systems (15 Credits)

  An introduction to the key principles and functions of operating systems and enhance a practical understanding of them by providing an introduction to command-line interfaces, key system tools and shell scripting.

• Computer Science, Ethics & Society (15 credits)

  This module will prepare you for your studies and professional career in computing, exploring the impact of new computing algorithms, technologies and applications on individuals and society.

Deepen your knowledge of computer science with core modules such as C++ and data structures. Boost your professional skills with a team project or a work-based project.

• Data Structures and Algorithms (15 Credits)

  Learn how information can be structured and processed in computer systems, with an abstract view of the way systems handle information, which is essential for effectively implementing and understanding computer systems.

• Language Processors (15 Credits)

  This module will give you an understanding of programming language structure and implementation that will complement programming skills and aid the learning of new programming languages.

• Object-Oriented Analysis and Design (15 Credits)

  This module will provide you with a thorough understanding of object-oriented analysis and design with UML and enable the adoption of software engineering practices.

• Professional Development in IT (15 Credits)

  You will be provided with the tools to plan your professional development, relating to academic and career goals, to understand your strengths and to identify areas of development.

• Team Project (30 Credits)

  The aim of the module is to allow you to get practical experience of working in a team on building a software product of industrial strength to meet a set of customer requirements.

• Programming in C++ (15 Credits)

  The module focuses on introducing some basic aspects of the C++ language in a gradual manner so as to allow students to use it with confidence in follow-up modules and in their professional career.

• Work Based Project (30 Credits)

  Get practical experience of working to design and build a software product to meet a set of customer requirements. Prerequisite for this module: you MUST be registered on the Professional Pathway.

• Continuing Professional Development in IT (15 Credits)

  Develop a research and evidenced based view on the changing nature of the IT sector, the direction of developments in the industry and how to prepare and plan for it.

• Computer Networks (15 Credits)

  This module aims to provide students with a solid understanding of the key organisational principles of computer networks and their key protocols.

Research and develop systems in an area of specialist interest to you with a large individual project. Tailor your degree to your interests with a broad range of elective modules to suit your career aspirations.

• Individual Project (45 Credits)

  Apply what you have learned in the other modules on a major piece of individual, computing-related work. This is an opportunity to demonstrate your knowledge, skills and your capacity for self-directed learning.

• Theory of Computation (15 Credits)

  Understand some of the standard abstract models of computation, how they may be shown to be equivalent, and what their limitations are.

• Functional Programming (15 Credits)

  This module will introduce you to functional programming, and the styles of programming and program structuring it makes possible.

• Games Technology (15 Credits)

  The module will introduce aspects of both game and game engine design, including an overview of the structure of a typical game development company.

• Advanced Databases (15 Credits)

  This module will enable you to gain advanced knowledge on, and develop skills for, different ways of representing, managing, and manipulating data

• Computer Graphics (15 Credits)

  In this module, you will learn the theory and practice of real-time 3D computer graphics based on the Open Graphics Library (OpenGL).

• Advanced Games Technology (15 Credits)

  The module will cover advanced game engine design in a practical format. A fully featured game engine will be developed from first principles.

• Professional Experience (Placement) Placement Reports (30 Credits)

  Focus your learning and development whilst on work placement; analyse and assess your learning at university and apply this in an appropriate and intelligent manner to your placement role.

• Data Visualization (15 Credits)

  This module is designed to equip you with the technical and design skills to create and use data visualization applications for the workplace and research environments.

• Digital Signal Processing and Audio Programming (15 Credits)

  This module ensures that you will be able to master tasks of developing and applying digital signal processing; including one-dimensional signals and some 2-dimensional signal processing for images.

• Advanced Programming – Concurrency (15 Credits)

  The module aims to provide you with the practical knowledge of the problems involved in programming and how to resolve these problems and the implementation mechanisms used for obtaining correct concurrent systems.

• Cloud Computing (15 Credits)

  This module aims to introduce you to the fundamental concept of computing-on-demand leading to Cloud computing. It follows a practical approach to building and running a test-bed cloud.

• Information Security Fundamentals (15 Credits)

  This module presents the fundamentals for information security from a strategic perspective, giving you the appropriate knowledge and skills to discuss, communicate within organisations.

• Computer Vision (15 Credits)

  In this module, you will learn the theory and practice of computer vision, which enables computers to perceive, and reason, about the world using images.

• Introduction to Artificial Intelligence (15 Credits)

  The main aim and focus of the module is to provide you with a broad introduction in theory and practice to the main areas of nature-inspired, adaptive Artificial Intelligence.

• Programming and Mathematics for AI (15 Credits)

  The main purpose of the module is for you to gain fundamental programming and mathematical skills for studying specialist Artificial Intelligence topics.

• Agents and Multi Agents Systems (15 Credits)

  This module allows you to learn agent architectures that perform differently according to the characteristics of the task environment

• User Centred Systems Design (15 Credits)

  Introduction to the importance of usability in interactive systems. You will learn techniques for the design and evaluation of interactive systems.

• Semantic Web Technologies and Knowledge Graphs (15 credits)

  In this module you will learn the semantic technologies to meet today’s demands from industry, where data scientists must semantically orchestrate diverse types of data sources. This module gives a practical combination of web and data management technologies, knowledge representation and artificial intelligence.

• Project Management (15 credits)

  This module deals with the concepts, methods and software involved in the management of projects. It covers the roles and skills needed at each stage of the project development process, the decisions to be made, and their consequences.

Students have the opportunity to follow two placement routes: a one year placement or the Professional Pathway scheme. The one year placement can be undertaken following successful completion of year 2.

Students can join the Professional Pathway scheme after successful completion of year 1 (early entry) or after successful completion of year 2 or a one year placement (late entry).