Program Overview
Overview
The Music Engineering Technology program at the University of Miami Frost School of Music has been a pioneer in education in music and technology since 1975, setting the standard by which the National Association of Schools of Music (NASM) accredits other such programs around the United States. Alumni of the program have contributed significantly to the music and audio industries and upon graduation pursue careers ranging from recording engineer to software designer.
Admission Requirements
All applicants to the Frost School must submit the following items:
- An online application
- Application fee
- Resume
- Three letters of recommendation
- Official transcripts from every post-secondary school attended A Bachelor of Science or STEM related major, such as music technology, electrical engineering, computer science, or related fields is preferred. Other degrees and majors will also be considered, based on faculty evaluation of the portfolio and college transcripts. This graduate degree program also requires submission of certain supplemental materials, including:
- Portfolio
- TOEFL/IELTS score, as applicable
Curriculum Requirements
The curriculum for the M.S. in Music Engineering Technology includes:
- Major Area:
- MUE 705: Current Trends in Music Engineering I (3 credits)
- MUE 603: Audio Software Development I (3 credits)
- MUE 610: Computational Psychoacoustics (3 credits)
- MUE 6XX/7XX: Advisor-approved course in music engineering (3 credits)
- Graduate Level Electives in Music: 6 credits
- MUS 700: Graduate Forum (0 credits)
- Electives: Select 9 credit hours of graduate level courses in electrical/computer engineering, computer science, and/or music engineering
- Final Project:
- MUE 813: Master's Research Project (3 credits) Total Credit Hours: 30
Sample Plan of Study
The sample plan of study for the M.S. in Music Engineering Technology is as follows:
- Year One:
- Fall:
- MUS 700: Graduate Forum (0 credits)
- MUE 705: Current Trends in Music Engineering I (3 credits)
- MUE 604: Audio Software Development II (3 credits)
- ECE, CS, MUE, or Music 6xx/7xx Elective (3 credits)
- Spring:
- MUS 700: Graduate Forum (0 credits)
- MUE 603: Audio Software Development I (3 credits)
- MUE 610: Computational Psychoacoustics (3 credits)
- ECE, CS, MUE, or Music 6xx/7xx Elective (3 credits)
- Fall:
- Year Two:
- Fall:
- MUS 700: Graduate Forum (0 credits)
- MUE 813: Master's Research Project (1 credit)
- ECE, CS, MUE, or Music 6xx/7xx Elective (3 credits)
- ECE, CS, MUE, or Music 6xx/7xx Elective (3 credits)
- Spring:
- MUS 700: Graduate Forum (0 credits)
- MUE 813: Master's Research Project (2 credits)
- MUE 610: Computational Psychoacoustics (3 credits) Total Credit Hours: 30
- Fall:
Mission
The mission of the Music Engineering Technology program is to:
- Provide the highest quality education in the field of music engineering technology
- Promote advancements in the fidelity and creativity of music recording, production, and reproduction
- Promote advancements in the invention, design, and implementation of audio hardware and software
Goals
The goals of the MS Music Engineering Technology program are to:
- Engage experiential and novel teaching modalities that lead to rapid student acquisition of elite technical skills that qualify them for cutting-edge positions in the audio industry
- Prepare students for potential placement in PhD programs in Music Technology, Computer Science, Electrical Engineering, Digital Informatics, or Media Engineering
- Ensure that curricular offerings are current and able to educate students in new and future theory and practice
- Place graduates into professional career positions
Student Learning Outcomes
The student learning outcomes for the M.S. in Music Engineering Technology program are:
- Students will demonstrate advanced problem solving skills to find a solution to an engineering research problem
- Students will demonstrate fundamental understanding of software engineering concepts and applications as applied to music engineering problems
- Students will demonstrate advanced understanding of electrical and computer engineering concepts and applications to audio analysis and signal processing
