Mathematics and Music Technology
Mathematics and music technology is an unusual combination that reflects genuine intellectual connections between two fields that might at first appear quite distant. Mathematics underpins music at multiple levels: the physics of sound, the mathematics of rhythm and tuning systems, the algorithms used in audio signal processing, and the statistical and computational methods that drive music recommendation, analysis, and generation all draw on mathematical ideas. Music technology, meanwhile, is a discipline concerned with the design and use of the tools and systems through which music is recorded, produced, synthesised, and distributed in the digital age.
Students who study this combination develop both the rigorous analytical skills of a mathematics education and the creative and technical competence of a music technology training.
At the University of Liverpool, this three-year full-time degree includes a sandwich year with a work placement, a year abroad, and a work placement within the sandwich structure, providing professional and international experiences alongside the academic content. The mathematics component covers analysis, algebra, probability, statistics, and applied mathematics, building the foundational skills needed for rigorous quantitative work. The music technology component covers digital audio, acoustics and psychoacoustics, synthesis and sound design, signal processing, music production, and the programming and computational tools used in contemporary music technology.
Projects that integrate the two disciplines, such as the mathematical analysis of audio signals or the application of statistical methods to music information retrieval, help you develop an integrated perspective on the combination.
Graduates from mathematics and music technology programmes have a versatile set of skills that opens doors across several industries. The music and audio industries employ graduates in roles in music production, audio engineering, game audio, film and television sound, and digital platform roles at streaming services and content companies. Technology companies working on audio software, speech recognition, music AI, and related products value the combination of mathematical depth and technical audio knowledge.
Data science and analytical roles more broadly are open to mathematics graduates. Postgraduate study in mathematics, signal processing, music technology, or computer science is available for those who want to deepen their expertise in a particular direction.