Graduate Certificate in AI in Music Supervision
-- viewing nowAi in Music Supervision is a rapidly evolving field that combines artificial intelligence and music industry expertise to revolutionize the way music is used in media. Music Supervisors play a crucial role in selecting and licensing music for films, TV shows, and commercials.
2,525+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
This Graduate Certificate program is designed for music professionals and industry enthusiasts who want to develop the skills to work with AI in music supervision.
Through a combination of online courses and hands-on projects, learners will gain a deep understanding of AI-powered music analysis tools, music licensing agreements, and data-driven decision making.
Some key topics covered in the program include music information retrieval, AI-generated music, and music copyright law.
By completing this certificate program, learners will be equipped to stay ahead of the curve in the music industry and capitalize on the growing demand for AI-powered music supervision services.
Explore further and discover how Ai in Music Supervision can transform your career in the music industry.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Music Information Retrieval (MIR) for AI in Music Supervision - This unit focuses on the development of algorithms and techniques for extracting relevant features from music data, enabling AI systems to analyze and understand music content. •
Audio Signal Processing for Music Supervision - This unit covers the fundamental principles of audio signal processing, including filtering, convolution, and spectral analysis, which are essential for music supervision applications. •
Machine Learning for Music Analysis - This unit introduces students to machine learning algorithms and techniques for music analysis, including classification, regression, clustering, and dimensionality reduction. •
Music Content Analysis for AI in Music Supervision - This unit explores the analysis of music content, including melody, harmony, rhythm, and lyrics, and how these elements can be used to inform music supervision decisions. •
Music Licensing and Copyright Law for AI in Music Supervision - This unit examines the legal aspects of music licensing and copyright law, including fair use, royalties, and clearance procedures, which are critical for music supervision professionals. •
AI-powered Music Recommendation Systems - This unit delves into the development of AI-powered music recommendation systems, which can be used to suggest music for film, television, and other media applications. •
Music Supervision for Film and Television - This unit focuses on the practical application of AI in music supervision for film and television, including music selection, clearance, and licensing. •
Data Analytics for Music Supervision - This unit introduces students to data analytics techniques for music supervision, including data visualization, statistical analysis, and data mining. •
AI Ethics and Fairness in Music Supervision - This unit explores the ethical considerations of AI in music supervision, including fairness, bias, and transparency, and how these issues can be addressed in practice. •
Music Technology and Software for AI in Music Supervision - This unit covers the technical aspects of music technology and software used in music supervision, including digital audio workstations, plug-ins, and other music production tools.
Music Information Retrieval (MIR) for AI in Music Supervision - This unit focuses on the development of algorithms and techniques for extracting relevant features from music data, enabling AI systems to analyze and understand music content. •
Audio Signal Processing for Music Supervision - This unit covers the fundamental principles of audio signal processing, including filtering, convolution, and spectral analysis, which are essential for music supervision applications. •
Machine Learning for Music Analysis - This unit introduces students to machine learning algorithms and techniques for music analysis, including classification, regression, clustering, and dimensionality reduction. •
Music Content Analysis for AI in Music Supervision - This unit explores the analysis of music content, including melody, harmony, rhythm, and lyrics, and how these elements can be used to inform music supervision decisions. •
Music Licensing and Copyright Law for AI in Music Supervision - This unit examines the legal aspects of music licensing and copyright law, including fair use, royalties, and clearance procedures, which are critical for music supervision professionals. •
AI-powered Music Recommendation Systems - This unit delves into the development of AI-powered music recommendation systems, which can be used to suggest music for film, television, and other media applications. •
Music Supervision for Film and Television - This unit focuses on the practical application of AI in music supervision for film and television, including music selection, clearance, and licensing. •
Data Analytics for Music Supervision - This unit introduces students to data analytics techniques for music supervision, including data visualization, statistical analysis, and data mining. •
AI Ethics and Fairness in Music Supervision - This unit explores the ethical considerations of AI in music supervision, including fairness, bias, and transparency, and how these issues can be addressed in practice. •
Music Technology and Software for AI in Music Supervision - This unit covers the technical aspects of music technology and software used in music supervision, including digital audio workstations, plug-ins, and other music production tools.
Career path
Graduate Certificate in AI in Music Supervision
Job Market Trends:
Music Supervisors: 15% of the job market, responsible for selecting and licensing music for visual media.
Music Curators: 10% of the job market, responsible for maintaining and updating music libraries for various projects.
Music Licensing Specialists: 8% of the job market, responsible for negotiating licensing agreements between artists and producers.
Music Composers: 6% of the job market, responsible for creating original music for various projects.
Music Producers: 4% of the job market, responsible for producing and editing music for various projects.
Career Roles:
Music Supervisor: Responsible for selecting and licensing music for visual media, ensuring that the music aligns with the tone and style of the project.
Music Curator: Maintains and updates music libraries for various projects, ensuring that the music is relevant and up-to-date.
Music Licensing Specialist: Negotiates licensing agreements between artists and producers, ensuring that the rights are protected and the music is used legally.
Music Composer: Creates original music for various projects, such as films, television shows, and video games.
Music Producer: Produces and edits music for various projects, such as films, television shows, and video games.
Salary Ranges:
Music Supervisor: £25,000 - £40,000 per year.
Music Curator: £20,000 - £35,000 per year.
Music Licensing Specialist: £30,000 - £50,000 per year.
Music Composer: £25,000 - £45,000 per year.
Music Producer: £30,000 - £60,000 per year.
Skills Demand:
Music Supervisors: Proficient in music software, such as Ableton Live and Logic Pro X.
Music Curators: Knowledgeable in music theory and history, with experience in music software.
Music Licensing Specialists: Strong communication and negotiation skills, with experience in music software.
Music Composers: Proficient in music software, such as Ableton Live and Logic Pro X.
Music Producers: Knowledgeable in music software, such as Ableton Live and Logic Pro X.
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
GRADUATE CERTIFICATE IN AI IN MUSIC SUPERVISION
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
