MA/MSc Computing and Creative Industry (Modular)
University of the Arts London
Key Information
Campus location
London, United Kingdom
Languages
English
Study format
On-Campus
Duration
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Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
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Introduction
MA/MSc Computing and Creative Industry (Modular)
MA/MSc Computing and Creative Industry (Modular) is a modular program that enables you to study units from across the Creative Computing Institute (CCI) post graduate courses in a combination that suits you. For example, units available with this course come from MSc Creative Computing, MSc Data Science and the Creative Industries and MA Internet Equalities. This means you are able select that specific areas of study that interest you and tailor your post graduate experience at the CCI to support your career aspirations.
The name of this award reflects that three core areas of study across the CCI that are available to you to choose to study: Creativity, Computing and Industry. The study of creativity is available within practice-based project units where you apply computing skills to produced innovative creative outcomes. The study of Computing is available in units that target specific technologies such as machine leaning or natural language processing with common programing languages such as Python. The study of Industry is available within units that explore practical and critical concepts related to the social phenomena of computing and its impact on the ethical dimensions of products, services and culture. With the ability to select units of study across this range you are able to take account of your individual level technical ability, desire for critical engagement and your intended graduate path.
Further benefits of the course include; the ability to study with a range of peers on different CCI courses, access to dedicated CCI specialist course facilities and technical staff, access to a broad range of CCI academic across specialist subject areas.
Admissions
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Curriculum
Term 1
60 credits from the following units:
- Creative Making: Advanced Physical Computing
- Critical Studies: Computational Thinking and Creative Practice
- Coding One: Advanced Creative Coding
- STEM for Creatives
- Natural Language Processing for the Creative Industries
Term 2
40/60 credits from the following units:
- Coding Two: Advanced Frameworks
- Critical Studies: Computational Thinking and Creative Practice
- Creative Making: Advanced Visualisation and Computational Environments
- Introduction to Data Science
- Artificial Intelligence for Media
- Computational Inequalities
- Designing for Responsible Innovation
- Human Rights and Computation
Term 3
40/60 credits from the following units:
- Platform Potentials
- Coding Three: Exploring Machine Intelligence
- Creative Making: Advanced Visualisation and
- Computational Environments
- Data Science in the Creative Industries
- Personalisation and Machine Learning
Term 4
- MA Advanced Project or
- MSc Advanced Project
Program Outcome
- Project work
- Peer learning and knowledge exchange
- Collaborative problem-solving and group work
- Studio/lab-based practice and masterclasses
- Industry visits and guest critiques
- Lectures and seminars
Program Tuition Fee
Career Opportunities
Depending on your unit choice graduates will be well placed to work in the following areas:
- Technology Development
- Technology Policy
- Technology Research
- Creative Critical Practice
- Digital Product Development
- Digital Project Management
- User Research
- Creative Technologist
- Creative Developer
- Web Developer
- UX Developer
- iOS App Developer
- Software Developer
- IoT / Smart Products Developer
- Front – End Developer
- Digital Strategist
- Live Events Technologist
- Technology Researcher
- Machine Intelligence Developer
- Broadcast Technologist
- IT Specialist
- Digital Project Manager
- Digital Entrepreneur
- Digital Creative
- Interactive Designer
A proportion of graduates may also wish to pursue PhD study.
Program delivery
Course length: 1 year 3 months full time (45 weeks across a four-term model)