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The MSc Artificial Intelligence for Media at BU is a 1-year full-time programme (with optional placement during the Masters Project) for graduates from technical, creative, or media backgrounds. It offers hands-on training in machine learning, media data analytics, software tools (like Python, PyTorch), and production technologies (e.g. motion capture, animation, green-screen), for roles in media production and AI.
Curriculum Structure:
Students learn core units in Media Data Analytics, Machine Learning for Media, and Software Engineering for Media Production. These give them skills in analysing image/video/audio data, building models with ML techniques, and using production pipelines/software tools used in media (like Houdini, Maya, etc.).
They also learn through creative and technical modules involving motion capture, animation, green screen work, and media-software workflows, learning teamwork, technical problem solving and integrating AI into visual media projects. In the Master's Project, students apply their AI/media skills to a significant individual or collaborative media-oriented project, often with real or simulated industry briefs, building a portfolio piece.
Focus areas
“Machine Learning; Media Data Analytics; Motion Capture & Animation; Green-Screen & Visual FX; Software Tools (Python, PyTorch); Project Work”
Learning outcomes
“Analyse and process media data; build and deploy machine learning models in media contexts; create media assets with animation/motion capture; understand industry tools and workflows; deliver a portfolio project”
Professional alignment (accreditation):
Strong industry exposure via NCCA, plus networking with major media companies (Disney, Pixar, etc.); facilities align with media production standards.
Reputation (employability rankings):
NCCA is ranked UK’s top animation school, 3rd in Europe and 4th globally (Animation Career Review 2024), which enhances the course’s profile to media employers.
This programme focuses on applying advanced computing principles through practical project work in the University's specialist facilities. You'll develop professional skills using industry-standard tools and high-performance computing resources, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Facilities: Access to BU's High-Performance Computing (HPC) cluster and dedicated computing labs with professional-grade workstations for software development and research.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C++, plus development environments like Visual Studio and database management systems.
Substantial Individual Project: A major research project where you apply advanced computing techniques to solve a substantial real-world problem.
Professional Collaboration: Opportunities to work on projects with industry partners and BU's research centres, including the Data Science and AI Research Centre.
Graduates of the MSc Artificial Intelligence for Media at Bournemouth University develop expertise in software development, cloud computing, cybersecurity, and AI, equipping them for versatile tech careers. Common job roles include Software Developer, Cloud Architect, Cyber Security Analyst, and IT Consultant, appealing to industries with high digital demand.
The dedicated CareersBU team offers career coaching, CV reviews, networking events, and placement support, helping students secure jobs in top tech sectors.
88.7% of graduates find work or pursue further study within 15 months; salaries for computer science roles typically range from £27,000 to £45,000 depending on experience and specialization.
Bournemouth’s close ties to the Cisco Network Academy and collaborations with major tech employers provide hands-on industry projects and recognized certifications.
Accredited by BCS, the Chartered Institute for IT, the MSc ensures long-term industry recognition and supports the path to Chartered IT Professional status.
Graduates demonstrate strong technical, ethical, and leadership skills to drive tech innovation across diverse sectors.
Further Academic Progression:
Students can pursue PhD research in Computer Science, AI, or related fields, or advance with professional certifications and interdisciplinary study for further tech career growth
A Bachelors Honours degree with 2:2 (or equivalent) in a relevant subject.India: Bachelor’s degree (three years) from a recognised HE institution with a minimum overall result of 55% USA: US Bachelor’s degree (four years), with a 2.5 GPA or above IELTS (Academic) 6.0 with minimum 5.5 in writing, speaking, listening and reading, or equivalent.TOEFL- overall 60-78GMAT or GRE not requiredProduct ManagerIoT Global Partner ManagerComputer Vision Developer/ProgrammerTest Engineer
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Bournemouth University
