The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.
The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band:
Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking
We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.
Become an expert in sound and music computing by developing new tools or products, like audio processors or instruments, and contribute to the expanding music and media technology sector. Prepare for your career by merging your interest in music with technology. Align your passion for music with technology through two specialised streams: the AI and Music Data Science stream, focusing on music distribution and data analytics, and the Audio and Music Engineering stream, dedicated to crafting innovative music hardware. Study this programme if: You aim to align your musical and technical skills with industry demands. You aspire to pursue a career in streaming, music distribution, or designing and developing music hardware. You have a keen interest in exploring how people interact with sound and music. You want to learn from leading experts at the Centre for Digital Music, actively involved in research, running highly successful spin-out companies, and collaborating with industry figures. You desire a comprehensive understanding of both the technical and human facets of sound production. This course will provide you with a comprehensive understanding of the design and software development process for music recording, analysis, and synthesis in diverse environments, such as home, studio, and live performances. You will study how musical sound is processed by the mind and brain - crucial for developing creative tools and intuitive interfaces, as well as the creative production of new music. You will also be introduced to state-of-the-art methods for the analysis of music data.
This course will provide you with a comprehensive understanding of the design and software development process for music recording, analysis, and synthesis in diverse environments, such as home, studio, and live performances.
You will study how musical sound is processed by the mind and brain - crucial for developing creative tools and intuitive interfaces, as well as the creative production of new music. You will also be introduced to state-of-the-art methods for the analysis of music data.
You will choose a stream to specialise in, to further develop your professional profile.
As well as lectures and seminars, you’ll engage in hands-on computing and laboratory work to gain practical insights and skills.
All students will undertake two compulsory modules covering music informatics and music perception and cognition.
Optional modules are split into two streams: AI and Music Data Science or Audio and Music Systems Engineering.