Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 Year Full-time 2 Years Part-time
Music is being transformed by data, from music making to music consumption. In an era in which data permeates every facet of our lives, it has become evident that the intersection of music and data science offers exciting possibilities. This course aims to equip you with the skills to navigate this dynamic landscape. By blending artistic and subject-specific music knowledge with data science, the programme aims to bridge the gap between creativity and data-driven insights.
This innovative interdisciplinary course combines advanced study in both music and computer science and is aimed at those wishing to develop a unique skillset that combines music knowledge with data science expertise.
You'll also benefit from engagement with the School of Music, the School of Computer Science and the Business School, providing valuable experience of different disciplinary approaches.
Applicants should typically have a minimum of a 2:1 bachelor's degree (or equivalent) in a relevant subject. Exceptional candidates with lower qualifications may be considered if they can demonstrate significant relevant experience or skills. The applicants will also have to have GCSE or equivalent in Maths.
Applicants should have a demonstrable interest in music and computing-related subjects. This may include good undergraduate degrees in music, music technology, computer science, data science, or related fields. The programme will also consider applicants with degrees in other disciplines who can demonstrate relevant skills or experience.
See our website for fees
The MA Music & Data Science programme aligns with and responds to the growing demand for professionals with interdisciplinary skills in the rapidly evolving music industry. In today’s industry landscape, where digital technologies and data-driven approaches prevail, there’s a growing demand for individuals who can connect musical understanding with technical expertise in data science.
Compulsory Modules
Optional modules (selection of typical options shown below)
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