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Universities United Kingdom University of the Arts London Courses MSc Data Science and AI for the Creative Industries

MSc Data Science and AI for the Creative Industries
at University of the Arts London

London, United Kingdom

Tuition Fee £ 23,610
Country Rank#101
Duration12 Months
Score IELTS: 7

Program Overview

The post-graduate conversion masters MSc Data Science and AI for the Creative Industries 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, this masters delivers applied computer science skills and data science training, introducing functional approaches to AI across multiple use cases.

This course has been developed in response to the Office for Students identifying a need for data science and AI skills in multiple sectors within the UK and internationally. It is anticipated that graduates with these skills will be in high demand. Additionally, the programme seeks to attract diverse learners so as to increase diversity within this high value and growing part of the creative technology economy.

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 lecture programme, 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.

Course Content
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)

This practical class develops key coding skills to support 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 as data journalism, art practice, social media analysis and bias in large language models.

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)

This practical class look 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.

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.
Entry Requirement
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.

Language requirements: IELTS level 7.0 or above, with at least 6.0 in reading, writing, listening and speaking
Fees & Scholarships
Home fee
£11,550

International fee
£23,610
Career Prospect
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

Cost Of Studying At University of the Arts London

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

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MSc Data Science and AI for the Creative Industries at University of the Arts London