Applied Machine Learning for Creatives University of the Arts London (UAL)

Overview

This Applied Machine Learning for Creatives course from University of the Arts London (UAL) offers you a further engagement with the core skills to utilise and innovate machine learning and data approaches to creative applications. Furthermore, the ethical dimension of Artificial Intelligence (AI) is actively explored in this course ensuring you have a deep understanding of the power of this technology.

You will apply scientific principles to support creation of mathematical models of real-world problems through computer programming. Different competencies will be measured across the programme through project work, creative practice and core programming. Special attention will be given to the development of your Applied Machine Learning Final Project that targets your preferred technology sector or domain of work. This is to support your progression to industry or academic research.

What to expect

• Coding for machine learning: You will learn practical coding skills in core modern programming languages, which can be applied in a wide range of AI industries and beyond.

• Project-based learning: You will complete a range of computing projects, applying your skills and knowledge to resolve real world problems.

• Ethical data practices: You will learn how data practices have the potential to impact individuals and society.

• Collaboration and creativity: You will collaborate with your post graduate peers to creatively solve problems together bringing your varied undergraduate experience to advanced problems. This ability is a core attribute sought after by many graduate employers.

• The CCI community: You will join a significant community of students, academics and researchers who are passionate about the future of data and computing. You will also be part of the integrated online community where you can access technical support, events, employment opportunities and more.

Career paths

Graduates will be well placed to work in the following areas:

• Software development for the creative industries
• Customer insight and personalisation for the creative industries
• Digital product development for the creative industries
• Research and development for the creative industries
• Content creation for creative industries