Queen Mary University London

Sound and Music Computing MSc

The Sound and Music Computing MSc at Queen Mary University of London explores the intersection of technology and creativity. This programme is designed for those who wish to develop expertise in audio engineering, machine learning, and sound design, preparing them for innovative roles in music production, acoustics, and interactive media. Students can choose between two specialised streams: AI and Music Data Science, which focuses on music distribution and data analytics, and Audio and Music Engineering, dedicated to creating innovative music hardware. The course aims to align students' musical and technical skills with industry demands, making them well-suited for careers in streaming, music distribution, or hardware design. Students will engage in hands-on computing and laboratory work, gaining practical insights and skills essential for the field. The curriculum includes eight modules in each stream, culminating in a final project module. All students will undertake compulsory modules covering music informatics and music perception and cognition. The AI and Music Data Science stream equips students with skills in data analytics and signal processing, while the Audio and Music Systems Engineering stream prepares them for designing and developing music hardware. The programme is supported by leading experts at the Centre for Digital Music, who are actively involved in research and industry collaborations. Graduates will emerge with a comprehensive understanding of both the technical and human aspects of sound production, ready to contribute to the expanding music and media technology sector.