MA Mathematics/Music
About this course
Mathematics and music is one of the oldest intellectual pairings in the Western tradition, and the connection is not merely historical. Music is deeply mathematical: in the ratios that govern harmony, the temporal structures of rhythm and metre, the acoustics of sound, and the formal properties of musical composition. Mathematics, for its part, has long used musical examples to illustrate abstract structures, and some of the most important mathematical thinkers have also been serious musicians. Studying the two together develops a mind that is rigorous and analytical while also sensitive to pattern, structure, and aesthetic experience. At the University of Glasgow this four-year MA programme offers considerable flexibility in the Honours years, allowing you to follow your own particular interests across both disciplines. You will develop mathematical knowledge in analysis, algebra, statistics, and other areas of pure and applied mathematics, alongside musical study that may range from performance and composition to music theory, history, and analysis. The programme includes a year abroad, giving you the opportunity to study in another country and to encounter different mathematical and musical traditions. An ambassador scheme also gives students the chance to spend time in schools, experiencing teaching and developing workplace skills alongside their academic work. Graduates from mathematics and music programmes are well placed for careers that require both analytical precision and creative thinking. Mathematics opens pathways into data science, finance, actuarial work, technology, and research, while music leads toward performance, composition, music education, the music industry, and arts administration. The combination is particularly distinctive for careers in music technology, acoustics, and the growing field of computational musicology. Teaching is a natural vocation for graduates who want to bring both disciplines to younger learners. Further study at postgraduate level in either mathematics, music, or interdisciplinary fields such as music information retrieval or music cognition is a natural next step.
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