Education

English-taught two-year music-technology master's supported by an NTNU environment that explicitly works with machine learning, AI, digital instruments and generative music.

Cand.scient. i medialogi med specialisering i lyd- og musikteknologi

Two-year English-taught Medialogy master's specialization in Copenhagen covering state-of-the-art sound and music technologies, machine learning and interactive media.

Aalborg University master's programme in sound and music computing now in teach-out after closure to new admissions.

Queen Mary master's degree with an AI and Music Data Science stream spanning audio engineering, MIR, deep learning and computational creativity.

Free Portuguese educational resource organized into learning routes for AI-music tools, production, theory, rights and responsible publication.

English-language master's specialisation in music production, sound design and creative technology with dedicated Sound & AI courses.

Current handbook unit on stochastic models, computer agency, artificial musical intelligence and generative electronic-music systems.

Semester 2 2026 ANU music-technology course whose published schedule includes a dedicated week on AI-assisted music production.

Dated Autumn 2026 course in MIDI, synthesis, computer-music composition and programming interactive music or research environments.

Spring 2027 advanced course in data-driven music analysis, feature extraction, classification, clustering and research with real-world music datasets.

음악AI교육

Two-credit graduate Practical Music Education course scheduled for both Fall 2026 and Spring 2027 in the official opening plan.

음악AI워크샵

Three-credit music-specific AI-X course in the active Music AI-linked Microdegree, scheduled for the second semester.

음악 AI연계 마이크로디그리

Twelve-credit microdegree combining coding, AI and big-data foundations, introductory generative AI, and a music-specific AI workshop.

English-taught engineering master's applying signal processing, computing, AI, and machine learning to music and acoustics.

Stanford critical-making course combining AI-mediated music creation, software engineering, HCI, aesthetics, and ethics.

음악과 AI

Fall 2026 undergraduate music course combining big data, deep learning, creative composition and performance, digital tools, and post-humanist aesthetics.