Students on this programme can experience a blend of different teaching and learning approaches. The programme aims to enable the development of skills through practical workshops in the laboratory, and academic knowledge through debate, lectures, discussion, and personal research.
Modules assume a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain.
Each module typically consists of 12 weeks of study. This time includes a supporting lecture programme, a series of supported laboratory sessions, and time for the completion of assignment exercises and examinations. Weekly contact hours on this programme may vary depending on the individual module options chosen and the stage of study.
The programme is also supported by online access to lecture material and related information.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in independent study.
Students must complete a substantial research project focusing on an area of personal and professional interest, for example through a substantive software implementation and the development of a dissertation.
The programme offers two approaches depending on the time of entry:
The October 2022 intake will take the following structure:
Term A: Applied Signal and Image Processing (Core), Advanced Artificial Intelligence (Core), and Neural Computing (Core).
Term B: Computer Vision (Core), Frontiers of Machine Learning and Computer Vision Research (Core), Machine Learning (Core), and Big Data Analytics and Modelling (Core).
Term C: Research Methods (Core) and Research Project (Core).
The February 2023 intake will take the following structure:
Term B: Computer Vision (Core), Frontiers of Machine Learning and Computer Vision Research (Core), Machine Learning (Core) and Big Data Analytics and Modelling (Core).
Term C: Research Project (Core) and Research Methods (Core)
Term A: Applied Signal and Image Processing (Core), Advanced Artificial Intelligence (Core) and Neural Computing (Core).
For more detailed information please contact the Programme Leader.
