STEM for Creatives (20 Credits)
This unit offers a conversion boot camp for STEM study for arts and humanities graduates including the maths that underpins the data science approaches later in the course. This unit is taught by a STEM academics who have worked in a creative industries setting.
Natural Language Processing for the Creative Industries (20 credits)
Introduction to Data Science (20 credits)
This computing and seminar class uses programming approaches to statistics, structuring data, analysing data and explores approaches to questioning real world datasets. This units also gives a grounding in data ethics, data handling and GDPR.
Artificial Intelligence for Media (20 credits)
This practical class introduces students to practical Artificial Intelligence tools such as Tensorflow an pyTorch in order to do signal processing classification, regression, style transfer, image and video generation and includes 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.
Data Science in the Creative Industries (20 credits)
This unit is taught in partnership with our current industry partner (WPP) and involves an industry case study of data science approaches to product development and applied approaches to campaign insight, customer interfaces, media analysis and generation.
Personalisation and Machine Learning (20 credits)
Thesis Project (60 credits)
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.