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MSc Artificial Intelligence for Media

This is an exciting new course that is currently being developed. This page will be updated with more information in January 2021. 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.  

Key information

Next start date:

September 2021


Bournemouth University, Talbot Campus


1 year full-time

Required subjects:

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.

Entry requirements:

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.

Course details

On this course you will be taught by a range of staff with relevant expertise and knowledge appropriate to the content of the unit. 

Entry requirements

Costs and fees

All fees are quoted in pounds sterling and are per year. Your tuition fees will be the same for each year of your course. You can find full information about funding your studies and paying your fees in our undergraduate fees and funding section. That’s also where you’ll find information about the scholarships and bursaries on offer – including unlimited Academic Excellence Scholarships for UK, EU and International students.

Fees quoted are for tuition only unless stated otherwise, and we’re committed to ensuring there are no hidden extra costs while you’re at university – that’s why we’re clear about what you can expect us to cover, and what your cost of living will be.

Your application

This course will be suited to graduates from various backgrounds, mathematical, computer disciplines as well as those from creative backgrounds who have professional or taught experience in a media related discipline such as computer animation, audio/video/image manipulation and processing, or related disciplines.


The course is primarily intended to foster graduates with the unique skillset required to pursue various Artificial Intelligence related roles in the media industries. During your degree you will have the opportunity to work with some of the UK's leading media production organisations, through the National Centre for Computer Animation (NCCA), and can make valuable contacts before you graduate.

Our staff

On this course you will be taught by staff with relevant expertise and knowledge appropriate to the content of the unit. This could include senior academic staff, qualified professional practitioners and research students, many of whom are actively engaged in research and/or professional practice which is integrated into the teaching of this course. Please note that staff can change.

Statistics shown throughout this page are taken from Unistats and BU institutional data unless otherwise stated.