The course aims to teach the state of the art in machine learning and machine intelligence; to give students the skills and expertise necessary to take leading roles in industry; and to equip students with the research skills necessary for doctoral study.

Learning Outcomes

By the end of the programme, students will have acquired:

• a knowledge of the fundamental techniques in machine learning and how to apply these techniques to a range of practical problems;
• a deep understanding of fundamental problems in machine intelligence, including speech and language processing and computer vision,Ê and the technologies that form the current state of the art;
• a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to the area of their chosen research topic;
• presentation skills through presenting their research in progress;
• the methodological and other technical skills necessary for research in their chosen area;
• the ability to critically assess the technical literature in machine learning and machine intelligence and related topics;
• directly marketable skills in computing, machine intelligence, machine learning, and the data sciences;
• collaborative skills through working with other students on the practical exercises and with PhD students and research assistants while carrying out their research project;
• experience in large-scale computing for machine learning and machine intelligence; and
• an understanding of how to define and conduct a research project.