Dr. Andrew Mead

Professor

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Biography

Andrew W. Mead is a Professor Emeritus in the Department of Music Theory at the University of Michigan. He holds degrees from Yale and Princeton Universities and has published articles on a variety of topics, including the music of Milton Babbitt, Elliott Carter, Arnold Schoenberg, and Anton Webern. His work explores concepts such as twelve-tone theory and rhythmic theory. His publications include contributions to journals like Music Theory Spectrum, Perspectives of New Music, Journal of Music Theory, and Theory and Practice. Mead authored the book, Introduction to Music: Milton Babbitt, which was published by Princeton University Press, and he also helped edit the Collected Essays of Milton Babbitt, also published by Princeton. He is a recipient of the Young Scholar Publications Award from the Society for Music Theory. As an active composer, Mead received the Goddard Lieberson Fellowship from the American Institute/Academy of Arts and Letters. His recent music includes saxophone quartets for the PRISM Larry Teal Saxophone Quartet and a song cycle for Jennifer Goltz's Brave New Works on texts by Amy Clampitt, with works written for saxophonists Timothy McAllister and Brian Sacawa.

Research Interests

Experience

Professor Emeritus

— Present

University of Michigan • Ann Arbor, MI

Teaching and research in the Department of Music Theory, mentoring students, and composing music.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science