Master of Science - Applied Machine Learning for Creatives
- 1 year
- Duration
- 30,890 GBP
- Price
- September
- Start
- June
- Deadline
- Master
- Degree
- Campus
- Format
- London / United Kingdom
- Location
Program description
The focused master’s programme at the UAL Creative Computing Institute offers a deep engagement with core machine learning and data skills for creative applications, while actively exploring the ethical dimensions of AI. You will apply scientific principles to create mathematical models of real‑world problems through computer programming, developing competencies through project work, creative practice, and core programming.
A key focus is your Applied Machine Learning Final Project, tailored to your preferred technology sector to support progression into industry or academic research. The curriculum emphasises practical coding for machine learning, project‑based learning to solve real‑world problems, ethical data practices, and collaborative, creative problem‑solving with peers. As part of the CCI community, you will join a network of students, academics, and researchers passionate about the future of data and computing, with access to technical support, events, and employment opportunities.
Program structure
- Coding for Digital Media
An introduction to digital media programming is given in this lesson, with an emphasis on its uses in creative industries. It gives students useful skills for creating multimedia by covering important frameworks and tools that facilitate the creation of digital media.
- Conversational Interfaces
Students learn basic coding concepts and abilities while creating practical coding projects in this practical workshop. Students will code chatbots and other conversational interfaces in Python and JavaScript. Practical exercises will examine and construct flow-based, intent-based, retrieval-based, and generative-AI chatbots.
- Data Science for Creative Industry
This computing and seminar course introduces creative areas to data-driven insights by examining exploratory data analysis, visualization methods, and machine learning models for personalization and recommendation systems.
- Multimedia Machine Learning
Students learn to use modern machine learning toolkits for supervised and unsupervised media processing and production in this practical seminar. CNNs, Transformers, Diffusion models, multi-modal learning, and other upcoming ML methods are also examined. Students will learn how to build and train modern neural networks and employ bespoke and pre-trained models for interactive and human-centered applications.
- Performing Data
This subject examines how data and machine learning can improve visual art, music, and performance. Group work, workshops, seminars, and crits will give students hands-on experience with machine learning for live performance and critical theory.
- Applied Machine Learning Final Project
This self-directed unit requires you to build and record a practical project and produce a thesis report on your technical techniques, design, development, and evaluation.
Price
Tuition fee:
- 30,890 GBP per education*
*Tuition fees may increase in future years for new and continuing students on courses lasting more than one year. For this course, you can pay tuition fees in instalments.
You may need to cover additional costs which are not included in your tuition fees, such as materials and equipment specific to your course.
Requirements for applicants
An applicant will normally be considered for admission if they have achieved an educational level equivalent to an honours degree in either the broad fields of:
- Arts and Design
- Humanities
- a joint computer sciences and arts/humanities degree, or related subject.
Educational level may be demonstrated by: Honours degree (named above); Possession of equivalent qualifications in a design-related or creative discipline; Prior experiential learning, the outcome of which can be demonstrated to be equivalent to formal qualifications otherwise required. Your experience is assessed as a learning process and tutors will evaluate that experience for currency, validity, quality and sufficiency; Or a combination of formal qualifications and experiential learning which, taken together, can be demonstrated to be equivalent to formal qualifications otherwise required.
Applicants without the required qualifications, but with professional experience may be eligible to gain credit for previous learning and experience through the AP(E)L system.
English language requirements
- IELTS level 7.0 or above, with at least 6.0 in reading, writing, listening and speaking
About the university
The University of the Arts London (UAL) produces and encourages the creativity essential for a better future. Its colleges have been at the forefront of innovative education since 1842, creating work with a lasting impact on people and the planet, driven by curiosity, imagination, and purpose.
London is fundamental to UAL's identity, providing a vital context where the university connects and exchanges ideas with individuals from all walks of life. Globally, its creative network influences education, culture, business, and society.
Through innovative research and creative instruction, UAL's faculty and staff bring fresh perspectives to education. The university enables students to build the careers they desire by working with them at every level - from pre-degree to postgraduate, and from short courses to online learning.
UAL's colleges
Ranked second in the world for art and design, UAL comprises six distinct colleges:
- Camberwell College of Arts
- Central Saint Martins
- Chelsea College of Arts
- London College of Communication
- London College of Fashion
- Wimbledon College of Arts
Together, they form a community of creatives, innovators, trailblazers, and storytellers, united in their mission to reimagine the future.
Courses in the visual arts, animation, screen, communication, fashion, media, and performance are available at the undergraduate and graduate levels.
