Prepare for a career in university teaching, industry research and development, multimedia, audio computation, and other research fields at the constantly shifting intersection of music and technology. You'll take courses in mathematics and computer science at the NYU Courant Institute of Mathematics and pursue research opportunities in the fields of computer science, music theory, music cognition, machine learning, mathematics, and artificial intelligence as related to problems in the recording, performance, analysis, perception, and composition of music.
What you'll learn
- Research methodologies in music and music education
- Scientific computing
- The psychology of music
- Digital signal theory
- 3D audio or music information retrieval
- Foundations in mathematics and computer science
- Curricular development and hands-on teaching experience
See the curriculum and requirements for this degree.
How you'll learn
Foundation Courses, Specialization Electives, and Research Requirements
This doctoral degree requires a minimum of 48 points, or credits. The program of study is distributed among foundation courses, cognate coursework related to your area of specialization, content and dissertation proposal seminars, coursework in specialized research methodologies, and research requirements. See a full course list for the PhD in Music Technology.
Work Closely with Doctoral Faculty at NYU Steinhardt and NYU Courant
You'll be mentored closely by faculty at both NYU Steinhardt and the Courant Institute, benefitting from courses, facilities, resources, and rich research opportunities at both schools.
A Flexible PhD Program Tailored to Your Areas of Interest
You will be able to personalize your program around your individual interests, taking courses that further your particular area of specialization in the field of music technology.
Selected Student Bio
For more information about this PhD program, please contact
Dr. Robert Rowe