MSc Applied Artificial Intelligence (Online) - Full TimeArtificial Intelligence Ethics and Applications (20 credits) / CIS4057-N(FT) / 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. Artificial Intelligence Foundations (20 credits) / CIS4049-N(FT) / TU OnlineDescriptionYou gain the foundational knowledge to study a wide range of AI applications and solutions, and are introduced to logic-based knowledge representation, reasoning, problem solving and algorithms, planning and AI applications Big Data and Business Intelligence (20 credits) / CIS4008-N(FT) / 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(FT) / 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. Deep Learning (20 credits) / CIS4050-N(FT) / TU OnlineDescriptionDeep learning is a subset of machine learning that uses artificial neural networks models with many layers to solve problems in computer vision, speech recognition, natural language process and language translation. The main advantage of deep learning is the ability to learn representations from raw data such as images or text without the need to hand engineer features that represent the input for the model and deliver very high accuracy. Deep learning is now the main technology behind many breakthroughs in object and voice recognition, Google Deep Mind AlphaGo, Siri (Apple), Alexa (Amazon) and Face recognition (Facebook). This module covers various deep learning methods and their practical applications. Machine Learning (20 credits) / CIS4035-N(FT) / 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(FT) / 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. |