MSc Computer Science and Artificial Intelligence (Online) - Full TimeAgile Development (20 credits) / CIS4058-N(MScFT) / TU OnlineDescriptionYou gain experience of application development utilising an agile development approach. You also take responsibility for determining project aims, objectives, roles, tasks, deliverables, schedules and documentation. Artificial Intelligence Ethics and Applications (20 credits) / CIS4057-N(MScFT) / TU OnlineDescriptionYou gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA). You explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines, and analyse both the risks and opportunities of applying AI and DS techniques in these areas. Big Data and Business Intelligence (20 credits) / CIS4008-N(MScFT) / TU OnlineDescriptionYou develop your ability to design and implement database, big data and analytics applications to meet business needs. A case study is used to follow the system development lifecycle. You develop a plausible application from inception to implementation for a real-world scenario. Computing Masters Project (60 credits) / CIS4055-N(MScCSAIFT) / TU OnlineDescriptionYou undertake a major, in-depth, individual study in an aspect of your course. Normally computing master’s projects are drawn from commercial, industrial or research-based problem areas. The project involves you in researching and investigating aspects of your area of study and then producing a major deliverable, for example software package or tool, design, web-site and research findings. You also critically evaluate your major deliverable, including obtaining third party evaluation where appropriate. Machine Learning (20 credits) / CIS4035-N(MScFT) / TU OnlineDescriptionMachine learning is a subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions. You build a model from a task based on observations in order to make predictions about unseen data. Such techniques are useful when the desired output is known but an algorithm is unknown, or when a system needs to adapt to unforeseen circumstances. Software for Digital Innovation (20 credits) / CIS4044-N(MScFT) / TU OnlineDescriptionYou gain an introduction to the Python programming language and its application to solving problems in digital innovation. This involves the principles of programming, the syntax and structure of Python, its relevant libraries and modules, and how it is incorporated in existing software tools. You form a solid foundation of producing software solutions to real-world problems. User Experience Modelling (20 credits) / CIS4070-N(MScFT) / TU OnlineDescriptionYou gain the underpinning knowledge and skills you need for user experience modelling and design. Study the theoretical foundations of human-computer interaction (HCI), interaction design, product design, and participatory design and development. Apply user experience modelling approaches to the design of software applications and services. |