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MSc Data Science and AI for the Creative Industries

College
UAL CREATIVE COMPUTING INSTITUTE
Start date
October 2020
Course length
1 year (45 weeks)

Applications closed 2020/21

We are no longer accepting applications for 2020/21 entry to this course.

Coronavirus updates

All our courses starting in 2020/21 will be running as a mix of on-campus and online activities and will follow UK government safety advice. It may be necessary to make some adjustments to course delivery as a result of this. We will notify applicants and students of any changes directly.

For more information, read our guidance for prospective students during the Coronavirus outbreak.

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

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

We are no longer accepting applications for 2020/21 entry to this course. Applications for 2021/22 entry will open in Autumn 2020.

All applications will be considered by the course team who will consider key elements when making a decision on your suitability to join the course:

  • Firstly they will look at your qualifications and transcript (or projected results).
  • Secondly, they will review your personal statement.
  • There is no requirement for an academic or professional reference.

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
  • Personal statement

Start your application now

The online application can be saved as you fill it out, so you don’t 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 press submit.

Application deadline

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

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.

We are no longer accepting applications for 2020/21 entry to this course. Applications for 2021/22 entry will open in Autumn 2020.

All applications will be considered by the course team who will consider key elements when making a decision on your suitability to join the course:

  • Firstly they will look at your qualifications and transcript (or projected results).
  • Secondly, they will review your personal statement.
  • There is no requirement for an academic or professional reference.

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
  • Personal statement

Please note: we will ask you for copies of certain documents (for example, English language qualification/certificate and copies of any previous UK study visas).

For further advice on how to apply please visit the UAL International Application page.

Start your application now

The online application can be saved as you fill it out, so you don’t 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 press submit.

Alternatively, international applicants can apply through one of our official representatives in your country

Application deadline

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

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.


Fees and funding

Home / EU fee

£11,220 (2020/21).

Course fees may be paid in instalments

International fee

£22,920 (2020/21).

Course fees may be paid in instalments

Additional costs

In addition to tuition fees you are very likely to incur additional costs such as travel expenses and the cost of materials. Please read the information on our additional costs page.

Accommodation

Find out about the accommodation options available and how much they will cost.

Progression discount

UAL alumni can receive a 20% tuition fee discount on a taught Master's course at UAL. Visit the progression discount page to find out more.

Scholarships and awards

Use our search tool to find out more about the scholarships and awards available to students.

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