Msc Data Science and AI for the Creative Industries

Data Science and AI for the Creative Industries

The post-graduate conversion Master's MSc Data Science and AI for the Creative Industries and offers BA arts and humanities graduates the opportunity to re-orient their studies to an applied STEM discipline in a creative industries context.

Designed in collaboration with the creative industries, thecoursewill give youapplied computer science skills,data science trainingandintroduce you tofunctional approaches to AI across multiple use cases.

As a student at the UAL Creative Computing Institute you will study in a specialist, research rich environment. The Institute provides dedicated technical resources, access to an Institute-wide lectureprogram, and further opportunities to engage with Institute researchers and practitioners through additional events, seminars and workshops.

By studying at the UAL Creative Computing Institute, you will join a network of creative researchers excited by the potential of computational technologies.

Unit 1 -STEM for Creatives

This unit offers a conversion boot camp for STEM study for arts and humanities graduates including themathsthat underpins the data science approaches later in the course. This unit is taught by STEM academics who have worked in acreative industriessetting.

Unit 2 -Natural Language Processing(NLP)for the Creative Industries

This practical class develops key coding skills to supportNatural Language Processing (NLP)for the creative industries and introduces applied computer science concepts for arts and humanities graduates.

Students will use coding languages such Python and JavaScript to develop approaches to text analysis, text generation, chatbots, conversational interfaces for sectors such journalism, data centric marketing, customer insights and services.

Unit 3 -Introduction to Data Science

This computing and seminarunituses programing approaches to statistics, structuring data,analysingdata and explores big data approaches to social media analysis including techniques such as topic modelling.Italso gives a grounding in data ethics, data handling and GDPR.

Unit 4 -Artificial Intelligence for Media

This practicalunitintroduces students to practical Artificial Intelligence tools such asTensorflowanpyTorchin order to do signal processing classification, regression, style transfer, image and video generation. Itincludes exploring techniques such as, deep fakes, GANS, pix-2-pix and others.

You will benefit from tuition from senior CCI researchers in this area and our relationships with industrial product teams such as Google Brain.

Unit 5 -Data Science in the Creative Industries

This unit is taught in partnership with our current industry partners and involves an industry case study of:

• Data science approaches to product development
• Applied approaches to campaign insight, customer interfaces, media analysis and generation

Unit 6 -Personalisationand Machine Learning

This practicalunitlook at extending your machine learning experience to include the building and testing of recommenders and audience analysis tools. This Python and JavaScript based applied computing experience enables you to build and test systems that specifically test clustering for audience preferences.

Unit 7 -Thesis Project

This self-directed unit ask you to build a practical project and write an associated thesis report of 8-10,000 words that documents your technical methods, process of design and development and evaluation.

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