Sound and Music Computing MSc

The course delivers a comprehensive understanding of the design and software development processes essential for music recording, analysis, and synthesis across diverse environments including home studios and live performances. By exploring how the human mind and brain process musical sound, students gain critical insights necessary for developing creative tools and intuitive interfaces alongside the production of new music. The curriculum combines theoretical lectures and seminars with rigorous hands-on computing and laboratory work to ensure practical proficiency. All participants undertake compulsory modules in music informatics and music perception, establishing a shared foundational knowledge before specializing in one of two distinct streams to enhance their professional profile. The AI and Music Data Science stream equips students with expertise in data analytics, information retrieval, and signal processing, preparing them for roles in streaming, distribution, and the creation of AI tools for creative professionals. Alternatively, the Audio and Music Systems Engineering stream focuses on the design and development of sophisticated music hardware and software, addressing the growing demand for advanced audio technology in entertainment and communications. Through specific modules such as Deep Learning for Audio and Interactive System Design , and a mandatory final project, graduates emerge ready to innovate in fields ranging from mixing console engineering to niche music recommendation services.