Certificate in Music and Artificial Intelligence

Open to all undergraduate students

(4 units)

Offered jointly by the Bienen School of Music and the McCormick School of Engineering and Applied Science, this interdisciplinary certificate equips students to be critical users and thoughtful designers of AI technologies in music from the perspectives of educators, performers, theorists, and listeners. Through coursework students will explore key applications of AI and machine learning in music, including music information retrieval, recommendation systems, performance systems, and generative composition.

Prerequisites

  • COMP_SCI 110, COMP_SCI 150 or equivalent programming coursework in Python
    Note that many upper-level COMP_SCI courses also require COMP_SCI 111 and 214.

 

Choose at least 2 of these music courses:

Courses

Units

MUS_THRY 2511 unit

Introduction to Music Cognition

MUSIC 3201 unit

Listening in the Age of the Algorithm

MUS_THRY 3481 unit

Music and Corpus Studies

MUS_THRY 3351 unit

Selected Topics in Music Theory

MUS_THRY 3361 unit

Selected Topics in Music Cognition

 

 

 

Choose at least 2 of these courses:

Courses

units

Introductory or advanced AI/ML courses1 unit

COMP_SCI 325, 326, 338, 347, 348, 349, 372, 461, 449, 461, 463; COMP_SCI 396/397 special topics courses with approval of the certificate directors

COMP_SCI 3131 unit

Tangible Interaction Design and Learning

COMP_SCI 3751 unit

Digital Instrument Design

COMP_SCI 3521 unit

Machine Perception of Music and Audio

Note: The Bienen School does not promote the use of artificial intelligence as a replacement for human performance, composition, or creativity. The objective of this program is not to diminish human expression—rather, it is to examine the intersections between music and algorithmic ecosystems. The program is intended to provide those working in this space with the ethical, artistic, and humanistic framework needed to better understand the impacts of these systems.