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Music and Data Science at University of Leeds - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. Course highlights

  • Be part of the first Music and Data Science master's programme of its kind in the UK
  • Gain cutting-edge skills in data science and analytics that are highly in-demand across the music industries.
  • Develop a unique interdisciplinary perspective combining technical data skills with deep musical knowledge.
  • Apply data science techniques to musical datasets and industry challenges through the capstone project.
  • Access specialist facilities and industry networks across both the Schools of Music and Computer Science.
  • Flexibility to tailor your studies by choosing music options that align with a range of interests and career goals.
  • The School of Music’s Industrial Advisory Board is made up of industry experts and provides valuable insights that help shape the curriculum you’ll learn, preparing you for a career in industry.

Assessment method

We use a variety of assessment methods, each of which is chosen to best measure your achievement of a module’s learning outcomes and associated skills, so you and we can understand and support your progress and development. Depending on the modules you choose, across your degree you are likely to encounter a mix of project work, written assignments (e.g. essays, reports, reviews, reflective logs), presentations, and online assessments. Some assignments will be completed individually, some collaboratively, and some may require elements of group working leading to individual submissions. You might be given a brief, question or problem to be addressed, or you may have scope to determine your own question or approach under the guidance of a member of staff. You’ll be given clear instructions regarding the assessment requirements and criteria, and you’ll receive feedback on your work to support your learning as you progress through your course. Assessments will usually require you to synthesise and evaluate learning from multiple taught sessions and learning resources (e.g. a module’s lectures, seminars, set readings and other online resources), and you should think of your course as a whole, and apply your learning across your modules. Creative and practical work may offer you the chance to take risks and experiment with new ideas and concepts, and in all cases we encourage you to challenge yourself, to think critically and creatively, to move as far beyond your comfort zone as you can, and to reflect on your working process and achievement. Our assessments are designed to be fair and inclusive, to engage you intellectually and to help prepare you for life beyond University through the development of relevant skills, knowledge and experience.


Entry requirements

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.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5with no less than 6.0 in each component skill
TOEFL (iBT)88with no less than 19 in listening, 20 in reading, 22 in speaking and 21 in writing
PTE Academic64with no less than 60 in any component

Please click here for further details of our English requirements

https://www.leeds.ac.uk/international-admissions/doc/entry-requirements


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fees are listed on our website: https://courses.leeds.ac.uk/
Music and Data Science at University of Leeds - UCAS