Media Technology
Why Media Technology at Queen Mary?
- Immerse yourself in a curriculum shaped to address real-world needs, providing you with the practical expertise required for specialised careers in sound and music computing or machine learning for visual data analytics.
- Learn from top academics leading their fields and engage in collaborations with some of the world’s leading companies.
- Undertake cutting-edge research projects for valuable hands-on experience that links theory and practice.
- Access state-of-the-art research and teaching facilities including our state-of-the-art qMedia and Arts Technology Studios.
- Ranked 8th in the UK for Computer Science (THE World Subject Rankings 2024)
I picked my MSc because computer vision was the most appealing field in machine learning for me, and Queen Mary has an excellent computer vision department. I most enjoyed my modules in Introduction to Computer Vision with Professor Andrea Cavallaro and Deep Learning and Computer Vision with Professor Sean Gong. They’re both fantastic lecturers, really knowledgeable and engaging. During my MSc, I gained important skills in machine learning and computer vision and experience conducting research projects, designing experiments and critically analysing academic papers. The video presentation I made as part of my research project got me the interview which eventually led to my role at Hawk-Eye as a Computer Vision Engineer.— Tom Hughes, MSc Machine Learning for Visual Data Analytics (2023)
