Modules

Year 1 Core modules: Algorithms and Data Structures introduces the theory and practice of problem-solving in computing through the development of algorithms, and their associated data structures, for common computer science problems. Computational Thinking explores the breadth of Computer Science and the ways in which different topics relate to one another. You will learn the importance of computation and computational thinking in the modern world and the impact it has on technology advances in different settings. Computer Systems provides an understanding of the way in which modern computer systems (both hardware and software) can effectively represent, transport and manipulate data. Mathematics for Computer Science introduces key concepts from linear algebra, calculus and mathematics, and explains their importance in the field of computer science. Plus either Programming (Black) or Programming (Gold). Year 2 Core modules: Networks and Systems extends the understanding of the principles and practices of programming and using different computer systems. This module looks at distributed systems, networks, security and databases. Programming Paradigms will broaden your view of programming and programming languages as well as aiding your understanding of the systems and procedures related to computer programming. Theory of Computation introduces you to different models of computation and how they are related. You will learn the fundamental notions of computation such as 'computable' and 'efficiently computable' and the design and analysis of efficient algorithms. Artificial Intelligence provides an understanding of some of the core problem-solving principles of Artificial Intelligence (AI) and the role of AI in the real world. Data Science introduces the techniques used for capturing, cleaning and analysing data and explores the ways in which different types of information can be represented and processed. The techniques covered include probability and statistics, graphics and visualisation, and image processing. Software Engineering provides a detailed understanding of the phases of the software development lifecycle, including the problems associated with each phase and how to identify best practice for their solution. This module includes a team software development project where you can work with an external organisation to gain practical software development experience. Year 3 Core modules: In Project Preparation you will work on essential research skills including researching a topic, writing, presenting, and begin preparation for your own Advanced Project. Examples of optional modules: Advanced Computer Systems Bioinformatics Compiler Design Computational Modelling in the Humanities and Social Sciences Computer Science into Schools Cryptography Deep Learning Design of Algorithms and Data Structures Human–AI Interaction Design Multimedia and Game Development Parallel Scientific Computing Recommender Systems Reinforcement Learning Virtual and Augmented Reality. Year 4 Core module: The Advanced Project is a substantial piece of research. It is possible that the resulting research might be published in a journal or at a conference, possibly as a prelude to higher level studies in Computer Science. Examples of optional modules: Advanced Algorithms Advanced Computer Graphics and Visualisation Advanced Computer Vision Applied Cryptography Blockchain and Cryptocurrencies Coding and Information Theory Learning Analytics Natural Language Processing Networks and their Structure Parallel Scientific Computing Quantum Computing Randomised Algorithms and Probabilistic Methods. Additional pathways Students on the MEng Computer Science can apply to be transferred onto either the ‘with Year Abroad’ or ‘with Placement’ pathway during the second or third year. Places on these pathways are in high demand and if you are chosen your studies will extend from four years to five.