M.S in Music and Technology Curriculum
Course Selection
Music and Technology students work closely with a graduate advisory committee in finding and selecting courses. Masters students are encouraged to take courses in Music, Computer Science, and Electrical Engineering and any other department that are not specifically Music and Technology courses. Carnegie Mellon offers a variety of courses across its varied schools, and students have taken a variety of courses including Machine Learning, Multi-Track Recording, Hybrid Instrument Building, and The Roots of Rock and Roll. Students may draw from any number of courses in the pursuit of their degree. Many students also take undergraduate courses to strengthen their knowledge in new areas of study. For an updated selection of current courses (as well as short class descriptions), please see Carnegie Mellon's complete listing of courses here.
Students are expected to have a total of 144 units(roughly 36 units per semester) as follows:
60 Units - Core courses identified by the Graduate Advisory Committee, including at least 24 units of music and 24 of CS or ECE
24 Units - Support courses chosen by the student
18 Units - Thesis research
4 Units - Music and Technology Seminar (1 unit per semester)
26 Units - Electives
Course list
Computer Music Systems and Technology
15-322 Introduction to Computer Music
15-323 Computer Music Systems and Information Processing
60-439 Advanced SIS: Hybrid Instrument Building
Signal Processing
18-290 Signals and Systems
18-491 Digital Signal Processing
18-551 Digital Communication and Signal Processing System Design
18-792 Advanced Digital Signal Processing
18-798 Image, Video, and Multimedia
Music Information Retrieval
11-755 Machine Learning for Signal Processing
15-826 Multimedia Databases and Data Mining
Machine Learning
10-601 or 10-701 Machine Learning
10-705 Intermediate Statistics
Acoustics/Recording/Instrument Design
18-493 Electro-acoustics
57-947 Sound Recording
57-948 Editing and Mastering
57-949 Multi-track Recording
48-726 Acoustics and Lighting
Music Cognition / Perception
85-356/85-756 Music and Mind: The Cognitive Neuroscience of Sound
85-785 Auditory Perception: Sense of Sound
57-377 Psychology of Music
Music Theory
57-441 Analysis of 19th Century Music
57-442 Analytical Techniques
57-430 Music of Iran
57-605 Theory and Analysis for Graduate Students
57-760 Schenkerian Analysis
57-934 Advanced Analytic Techniques
57-968 Post-tonal Theory and Analysis
57-954 Shaping Time in Performance
57-615 Independent Study in Computer Music
57-570 Music and Technology Seminar
57-571 Music & Technology Project
57-572 Music & Technology Project
57-970 Music and Technology Seminar
Music History
57-606 Music History for Graduate Students 1
57-609 Music History for Graduate Students 2
57-209 The Beatles
79-345 The Roots of Rock and Roll
Composition
57-721 Studio composition
57-968 20th and 21st Century Compositional Techniques
57-27x Orchestration
Performance
57-459 (Graduate) Score Reading/Keyboard Harmony
57-xxx Technologically-assisted performance independent study