Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year (45 weeks including summer thesis project)
MRes Creative Computing post-graduate Masters by research will give you a material understanding of computational technologies in the context of creative computing research. You will 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 within the Institute and elsewhere. The course is a good fit for developing a research career in academia or industry and understanding how research is done in the interdisciplinary domain of creative computing.
We are committed to ensuring that your skills are set within an ethical framework and are working to embed UAL’s Principles for Climate, Social and Racial Justice.
Engagement with the following core Institute researcher themes:
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.
To show 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.
Critical knowledge of and enthusiasm for the subject area and capacity for diverse research-led study at the intersection of computing and practice-based research.
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 in the pursuit of innovative approaches to research using computing, will be prioritised.
Graduates will be well placed to work in the following areas:
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.
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.
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.
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.
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.
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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