Sound and Music Computing

This Sound and Music Computing programoffered at Queen Mary University of Londonwill provide you with a comprehensive understanding of the design and software development process for music recording, analysis, and synthesis in diverse environments, such as home, studio, and live performances.

Study this program if:

• You aim to align your musical and technical skills with industry demands.
• You aspire to pursue a career in streaming, music distribution, or designing and developing music hardware.
• You have a keen interest in exploring how people interact with sound and music.
• You want to learn from leading experts at the Centre for Digital Music, actively involved in research, running highly successful spin-out companies, and collaborating with industry figures.
• You desire a comprehensive understanding of both the technical and human facets of sound production.

What you'll study

You will study how musical sound is processed by the mind and brain - crucial for developing creative tools and intuitive interfaces, as well as the creative production of new music. You will also be introduced to state-of-the-art methods for the analysis of music data.

You will then choose a stream to specialise in, to further develop your professional profile.

Aswell as lectures and seminars, you’ll engage in hands-on computing and laboratory work to gain practical insights and skills.

Career paths

Graduates of Sound and Music Computing programoffered at Queen Mary University of London from the School have gone on to work in roles such as:

• Audio Software Developer
• Analogue Design Engineer
• Start-up Founder
• Director of Technology
• Embedded Software Developer
• Machine Learning Engineer
• Senior Lecturer
• Senior Research Engineer
• Product Development Engineer
• Real-time Audio C++ Software Engineer

Courses include:

• Perception and Cognition
• Interactive Digital Multimedia Techniques

• Sound Recording and Production Techniques
• Music and Audio Programming

• Music Informatics
• Interactive System Design
• Data Semantics