MSc Applied Machine Learning for Creatives

Course units

Coding for Digital Media

This unit provides an introduction to programming for digital media, focusing on its applications within creative fields. It covers key frameworks and tools that support digital media development, equipping students with practical skills for multimedia creation.

Conversational Interfaces

This practical class introduces students to fundamental coding concepts and develops key coding skills in the context of developing practical coding projects. Students will use coding languages such Python and JavaScript to develop chatbots and other kinds of conversational interfaces. Various approaches to chatbot design, such as flow-based, intent-based, retrieval-based, and generative-AI chatbots will be explored and developed in practical activities. 

Data Science for Creative Industry

This computing and seminar unit is an introduction to data-driven insights for creative fields looking at  exploratory data analysis, visualisation techniques and machine learning models for recommendation systems and personalisation.

Multimedia Machine Learning 

This practical class introduces students to contemporary machine learning toolkits in order to carry out supervised and unsupervised learning approaches to media processing and generation. It also includes exploring contemporary ML approaches including CNNs, Transformers, Diffusion models, multi-modal learning and other emerging methods. Students will learn how contemporary neural networks are built and trained, as well as how custom and pre-trained models can be used and developed for interactive and human-centred applications.  

Performing Data

This unit explores how data and machine learning can be applied to develop visual art, music and performance. Through group work, workshops, seminars and crits, students will develop hands on experience of using machine learning for live performance and the critical theory surrounding this practice.

Applied Machine Learning Final Project

This self-directed unit ask you to build and document a practical project and write an associated thesis report that documents your technical methods, process of design and development and evaluation. 

Learning and teaching methods

• Collaborative problem-solving and group work
• Independent study
• Lectures and seminars
• Project work
• Studio/lab-based practice and masterclasses
• Technical tuition

Selection criteria

Sufficient prior knowledge and experience of and/or potential in a specialist subject area to be able to successfully complete the programme of study and have an academic or professional background in a relevant subject for a conversion masters. 

Also, to show a willingness to work as a team player, good language skills in reading, writing and speaking, the ability to work independently and be self-motivated. 

We welcome non-standard applications from diverse applicants and subject fields and applications that make a strong case for how the course could be applied to the ambitions of the applicant.