This is an exciting new course that is currently being developed. This page will be updated with more information in November 2020. Please register your interest and we will email you when the course is open for applications.
Artificial Intelligence technologies have brought significant breakthrough in many areas such as image recognition, robotics and machine translation nowadays. BBC has reported that it will be a great opportunity to improve media production by AI and ML technologies. The job opportunities related to machine learning are surging drastically in the past three years. Therefore, it is timely and necessary to educate the media students with modern AI techniques.
This new course focuses on using existing machine learning frameworks of Tensorflow and PyTorch to address practical problems in media production. As a student on this course, you will have access to the latest deep learning methodology such as VGG, LSTM and GAN which are commonly used in AI research on image processing.
This new programme will be based at the NCCA as a specialist pathway within the existing animation framework. The programme (pathway) will sit alongside our established programmes, MSc Computer Animation & Visual Effects, MA Digital Effects and MA 3D Computer Animation. MA3D and MADE focus on animation and VFX techniques for film production, while the MSc CAVE focuses on software development for games, film and effects.
This new MSc AIM focuses on the machine learning skills for media production, especially the deep learning methodologies. The AI techniques included in this course will be more directly based on the real demand from the media industry.
Next start date:
Bournemouth University, Talbot Campus
1 year full-time
Professional or taught experience in a media related discipline. This may include backgrounds in audio / video / image manipulation and processing, computer animation or related disciplines.
A Bachelors Honours degree with 2:2 or equivalent. A portfolio is also required in support of your application. For more information see our full entry requirements.
International entry requirements:
IELTS 6.0 with a minimum of 5.5 in writing, speaking, listening and reading.For more information see our full entry requirements.