Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MRes 1 year full-time
The post-graduate masters by research MRes Creative Computing will give you a material understanding of computational technologies in the context of creative computing research. You will also be introduced to innovative research methods, the knowledge domain of creative computing and research design in an interdisciplinary context. The course specifically supports progression to MPhil/PhD both within the Institute and elsewhere and is a good fit for someone looking to develop a research career (in academia or industry) and who wants to know how research is done in the interdisciplinary domain of creative computing.
As an MRes student you will engage with the following core Institute researchers themes;Creativity, Machine Learning and AI, This platform explores how a foundational technology of the 21st century can be used in creative ways and examines how people will act with such technologies in deploying their personal and collective creativity; Human Computer Interaction, This platform explores how we behave with emerging technologies and what they will mean for products, services and culture; Platforms, Big Data and Digital Citizenship: This platform explores how the huge amount of data aggregated to the key platforms of our time can be understood, explored and contribute to a public discourse of a globalised and networked society.
As a student at the UAL Creative Computing Institute you will study in a specialist and research rich environment. The Institute provides dedicated technical resources and 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 at network of creative researchers excited by the potential of computational technologies.
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:
Or, from a creative discipline with substantial computational practice such as:
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 (please check our main English Language requirements webpage)
For fees and funding information, please see website
Graduates will be well placed to work in the following areas:
Methods 1: Domain Knowledge and Creative Computing (20 Credits)
This seminar class introduces the key domains of knowledge at play in creative computing research. Students develop a literature review based on concepts developed in this class.
Creative Coding for Research (20 credits)
This practical class develops key coding skills to support creative computing research and contains applied project work. Students will be introduced to key tools and frameworks with which to undertake computing research.
Methods 2: Creative Computing Research Methods (20 Credits)
This class introduces the key aspects of the research process and interdisciplinary methodologies and methods for creative computing research. Qualitative, quantitative, visual and applied methods are introduced including methods from the fields of computer science and participatory design.
Research Design and Experimental Data in Creative Computing (20 credits)
This practical class develops advanced coding skills to support creative computing research. Students will be introduced to innovative approaches to generating research data and will practically explore creative AI and machine learning in the context of creative computing research. The unit will also specifically explore research design with experimental data and tools.
Methods 3: Computational Research Ethics (20 Credits)
This seminar class introduces the key research methods for creative computing specifically including defined approaches to working with people and technology. Students will also be introduced to applied ethical frameworks for undertaking creative computing research and will develop a method statement and ethical evaluation for a proposed research project.
Research Project (80 credits)
Students will undertake self-directed research project which will be submitted as a draft academic paper, a formal PhD proposal or a creative presentation of research with an accompanying thesis.
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