Grasp the principles of programming and apply your skills to design and implement solutions to computational programming problems. You will be given the opportunity to practice writing programs and apply methods and techniques learned through laboratory sessions, coursework, and frequent and regular feedback.

Acquire the core knowledge of the organisation and operations of a typical computer system.

Understand the fundamental technologies for designing and building modern software systems, including networking and distributed systems, databases, web services, cloud computing and continuous delivery methods, illustrated via practical exercises and projects.

Gain a foundational understanding of key topics in logic and mathematics required to pursue more specialised modules, such as Logic-based Learning, Introduction to Machine Leaning, Computer Vision, and Graphics. This module is specifically designed for students on a with limited or no logic/mathematics content in their undergraduate degree.

Develop a thorough understanding of high-performance and energy-efficient computer architecture as a basis for informed software performance engineering.

Understand the basic concepts of quantitative finance and financial engineering and build awareness of the major decision, hedging, and pricing problems in finance.

Assess the best decision algorithms for solving real-life problems arising in computer science, computational management and economics.

Analyse the foundational principles behind decentralised ledgers and apply them to current research in cryptocurrencies.

Explore how modern database systems are structured and learn about recent developments in database technology.

Explore how images are formed, how they are represented on computers and how they can be processed by computers to extract semantic information.

Understand basic concepts of computer graphics and familiarise yourself with the mathematical principles used for computer generated imagery, shading and light approximations.

Gain insights into the different types of problems that exist in machine learning and the basic algorithms used to address them.

Gain an in-depth understanding of the state-of-the-art of logic-based learning, starting from its key foundation concepts and principles before moving to more recent advances.

Study network and web security broadly from the network to the application layer and understand the main threats, attack techniques and defences relevant to cybersecurity and network security.

Assess modern techniques in realistic computer graphics and image synthesis, particularly image-based techniques for photorealism.

Discover how cryptographic techniques can be used to design and implement secure communicating systems for a variety of different needs and applications.

Examine how probability can be used to make decisions by a computer and advance your understanding of inference networks and linear and non linear methods in statistical pattern recognition.

Review the problems and issues that must be dealt with in constructing robust and flexible distributed applications as well as the underlying network protocols needed to support them.

Learn the techniques required to reliably design and evolve larger software systems and explore key principles of software design.

Examine algorithm design and analysis and the range of approaches and established algorithms for solving common classes of problems.

Discover the basic notions of quantum computing and be introduced to Quantum Bits, Quantum Entanglement and Quantum Algorithms.

Explore applications of artificial intelligence technologies that will improve or transform existing financial, health and other systems.