Artificial Intelligence MSc MSc MSc

**Why choose this course**<br/>Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:<br/><br/><br/>- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise<br/><br/><br/>- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields<br/><br/><br/>- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.<br/><br/><br/>The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.<br/><br/>This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.<br/><br/>**What you will study**<br/>This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.<br/><br/>The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.