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Postgraduate

MSc Data Science and AI for the Creative Industries

CCI Breakout space
CCI staff and students talk in the breakout space the the UAL Creative Computing Institute. - Credit: Courtesy UAL
College
UAL Creative Computing Institute
Start date
September 2021
Course length
1 year (45 weeks)

This MSc course gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to AI.

Why choose this course at UAL Creative Computing Institute

  • High-quality research informed teaching: the course is significantly informed by the research themes of the UAL Creative Computing Institute (CCI)
  • Critical engagement with technology: engagement with creative practice will also build your ability to self-reflect and think critically about your role in shaping the world
  • Institute environment: you will have access to purpose-built facilities and technical support, and exposure to creative computing research

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Course open days

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Course overview

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, the course will give you applied computer science skills, data science training and introduce you to functional 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 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 units

Unit 1 - 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 STEM academics who have worked in a creative industries setting.

Unit 2 - Natural Language Processing (NLP) for the Creative Industries (40 credits)

This practical class develops key coding skills to support Natural 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 (20 credits)

This computing and seminar unit uses programming approaches to statistics, structuring data, analysing data and explores big data approaches to social media analysis including techniques such as topic modelling. It also gives a grounding in data ethics, data handling and GDPR.

Unit 4 - Artificial Intelligence for Media (20 credits)

This practical unit 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. It 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.

Unit 5 - Data Science in the Creative Industries (20 credits)

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 - Personalisation and Machine Learning (20 credits)

This practical unit 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.

Unit 7 - 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.

Learning and teaching methods

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

Assessment methods

  • Project portfolio comprising of technical prototypes and presentations
  • Essays and reports
  • Exams

How to apply

Opportunities for all

We are committed to making university education an achievable option for a wider range of people and to supporting all of our students in achieving their potential both during and after their courses.

We welcome applications from people with disabilities. If you have a disability (e.g. mobility difficulties, sensory impairments, medical or mental health conditions or Asperger’s syndrome) we strongly encourage you to contact us on disability@arts.ac.uk or +44 (0)20 7514 6156 so that we can plan the right support for you. All enquiries are treated confidentially. To find out more, visit our Disability & Dyslexia webpages.

Entry requirements

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.

APEL - Accreditation of Prior (Experiential) Learning

Applicants who do not meet these course entry requirements may still be considered in exceptional cases. The course team will consider each application that demonstrates additional strengths and alternative evidence. This might, for example, be demonstrated by:

  • Related academic or work experience
  • The quality of the personal statement
  • A strong academic or other professional reference
  • A combination of these factors

English language requirements

All classes are taught in English. If English isn't your first language you must provide evidence at enrolment of the following:

Language requirements: IELTS level 7.0 or above, with at least 6.0 in reading, writing, listening and speaking (please check our main English Language requirements webpage).

Selection criteria

We look for:

  • 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 Master's.
  • Aptitude for computing study and logical methods, sometimes tested in an online aptitude test. (this test is required on a per application basis and may not always be required).
  • 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.

Making your application

You should apply by clicking on the link to the direct form below. The application form can be saved as you fill it out, so you do not need to complete it all at once. You will also have the chance to review all the information and make any necessary amendments before you submit the application form

MSc Data Science and AI for the Creative Industries Full-time Year 1 - start your application now

Deferred entry

This course allows offer holders to defer. If you have an offer of a place, but you would like to defer starting for a year, please contact our Admissions Service as soon as possible via your UAL Portal. Make sure you check our Admissions Policy before requesting a deferral.

Required information for postgraduate course applications

Before you apply, please take time to read the guidance below. You will be asked to provide the following items and upload documents when completing the online application form:

  • Personal details (including full name; date of birth; nationality; permanent address and English language level)
  • Current and/or previous education and qualification details
  • Employment history
  • CV (see below)
  • Personal statement (see below)

CV

Please provide a CV detailing your education, qualifications and any relevant work or voluntary experience. If English is not your first language it is important that you also include in your CV details of your most recent English language test score.

Personal statement advice

You will be asked to complete a personal statement describing why you want to study on MSc Data Science and AI for the Creative Industries. Candidates will be expected to demonstrate critical knowledge of and enthusiasm for the subject, and a well-articulated rationale for joining the course.

The personal statement is a very important part of your application and should demonstrate to the course team that you are interested in the subject and that you have thought very carefully about why you wish to study on the course.

Ensure that your personal statement it is well written, clear and free of any spelling mistakes. It is your chance to impress the course team by showing a strong interest in the subject, demonstrating what you feel you would bring to the course, your appreciation of what the course can offer you and how you feel it might help you in the future.

This can be demonstrated through work experience, previous studies and your personal experience.

Application deadline

15 May 2021

Applications are accepted and offers are made throughout the year. Early application is advised.

We recommend you apply as soon as possible before this date, for equal consideration. We may still be able to accept applications after this date, depending on availability.

When you’ll hear from us

Once you’ve sent in your application, this will be sent through to our course teams for review. We’ll be in touch shortly after you apply with information about next steps. Find out more about what happens after you apply.

There are two ways international students can apply:

If you are applying directly you click on the link to the direct form below. The application form can be saved as you fill it out, so you do not need to complete it all at once. You will also have the chance to review all the information and make any necessary amendments before you submit the application form.

MSc Data Science and AI for the Creative Industries Full-time Year 1 - start your application now

Deferred entry

This course allows offer holders to defer. If you have an offer of a place, but you would like to defer starting for a year, please contact our Admissions Service as soon as possible via your UAL Portal. Make sure you check our Admissions Policy before requesting a deferral.

Required information for postgraduate course applications

Before you apply, please take time to read the guidance below. You will be asked to provide the following items and upload documents when completing the online application form:

  • Personal details (including full name; date of birth; nationality; permanent address and English language level)
  • Current and/or previous education and qualification details
  • Employment history
  • CV (see below)
  • Personal statement (see below)

CV

Please provide a CV detailing your education, qualifications and any relevant work or voluntary experience. If English is not your first language it is important that you also include in your CV details of your most recent English language test score.

Personal statement advice

You will be asked to complete a personal statement describing why you want to study on MSc Data Science and AI for the Creative Industries. Candidates will be expected to demonstrate critical knowledge of and enthusiasm for the subject, and a well-articulated rationale for joining the course.

The personal statement is a very important part of your application and should demonstrate to the course team that you are interested in the subject and that you have thought very carefully about why you wish to study on the course.

Ensure that your personal statement it is well written, clear and free of any spelling mistakes. It is your chance to impress the course team by showing a strong interest in the subject, demonstrating what you feel you would bring to the course, your appreciation of what the course can offer you and how you feel it might help you in the future.

This can be demonstrated through work experience, previous studies and your personal experience.

Immigration history check

Whether you are applying online or through a UAL representative you will need to complete an immigration history check to establish whether you are eligible to study at UAL.  If you do not complete the check we will not be able to proceed with your application.

We cannot consider your application if you do not provide all the information above.

Application deadline

15 May 2021

We recommend you apply as soon as possible before this date, for equal consideration. We may still be able to accept applications after this date, depending on availability.

When you’ll hear from us

Once you’ve sent in your application, this will be sent through to our course teams for review. We’ll be in touch shortly after you apply with information about next steps. Find out more about what happens after you apply.


After you apply

What happens next

Initial application check

We check your application to see if you meet the standard entry requirements for the course.

How we notify you of the outcome of your application

You will receive the outcome of your application through the UAL Portal.

Fees and funding

Home fee

£11,220 per year

This fee is correct for 2021/22 entry and is subject to change for 2022/23 entry. Tuition fees may increase in future years for new and continuing students on courses lasting more than one year. For this course, you can pay tuition fees in instalments.

Home fees are currently charged to UK resident nationals. However, the rules are complex and you can find out more on our tuition fees pages.

From 2021/22 entry, most EU students will be charged the International tuition fee rate, although this may depend on your individual circumstances. If you started your course in October 2020 or earlier, you’ll continue to pay Home (UK) fees for the duration of your course. Read more advice for EU students on our Brexit information webpage

International fee

£22,920 per year

This fee is correct for 2021/22 entry and is subject to change for 2022/23 entry. Tuition fees for international students may increase by up to 5% in each future year of your course. For this course, you can pay tuition fees in instalments.

International fees are currently charged to students from countries outside of the UK. However, the rules are complex and more information can be found on our tuition fees pages.

From 2021/22 entry, most EU students will be charged the International tuition fee rate, although this may depend on your individual circumstances. If you started your course in October 2020 or earlier, you’ll continue to pay Home (UK) fees for the duration of your course. Read more advice for EU students on our Brexit information webpage

Scholarship search

Careers and alumni

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

Alumni