This optional year introduces you to a foundational understanding of creative computing including creative practice and digital production.
- Introducing Creativity One (20 Credits)
- Foundational Methods for Creative Computing One (20 Credits)
- Foundational Methods for Creative Computing Two (20 Credits)
- Critical Studies: Computational Thinking and Creative Practice (20 credits)
- Computational Practices: Digital Production (20 Credits)
- Introducing Computational Practice (20 Credits)
You will begin to broaden your computational skill set with an underpinning in coding – covering an introduction and building to include Data, Maths and Methods. Skills will be applied to creative making and computational practices encompassing sound and image processing as well as experience and physical computing.
- Coding One: Introduction to Creative Computing and Coding Practice (20 Credits)
- Coding Two: Data, Maths and Methods (20 Credits)
- Critical Studies: A History of Computing and Computational Creativity (20 Credits)
- Creative Making: Design and Visual Coding (20 Credits)
- Computational Practices: Sound and Image Processing (20 Credits)
- Creative Making: Experience and Physical Computing (20 Credits)
As you develop your computational understanding you’ll progress into digital making involving both Experimental Human Computer Interaction and explore Social Platforms.
- Coding Three: Web Development Studio (20 Credits)
- Coding Four: Collaborative App Development Studio (20 Credits)
- Critical Studies: Network Thinking (20 Credits)
- Computational Practices: Visualisation and Sensing (20 Credits)
- Creative Making: Experimental Human Computer Interaction (20 Credits)
- Creative Making: Big Data, The Self and Social Platforms (20 Credits)
Year 3 (Optional Year in Industry)
The Diploma in Professional Studies is an optional placement year in industry between the second and third year of the course. It is a managed year of professional experience, largely undertaken in the design profession in a variety of national and international locations.
Successful candidates are selected on a competitive basis from academic performance and studentship, successful completion of the DPS bridging studies and by portfolio and proposal.
Year 3 / 4
In your final year you will explore computational approaches to machine intelligence and the ethical implications of such technologies. Alongside this you will develop creative project work using machine intelligence frameworks and have the opportunity to develop a self directed graduation project that brings together the skills and expertise you have gained throughout the course.
- Coding Five: Approaches to Machine Intelligence (20 Credits)
- Critical Studies: Computational Ethics (20 Credits)
- Creative Making: Art and Artificial Intelligence (20 Credits)
- Coding Six: Computational Communities and Professional Platforms (20 Credits)
- Creative Making: Graduation Project (40 Credits)
Learning and teaching methods
You will experience a range of hands on, industry relevant teaching to inform and build your practice methods featuring;
- Coding workshops, hack-a-thons and lab sessions
- Theoretical and technical lectures and large group learning
- Theoretical and technical workshops and seminar learning
- Individual academic tutorials
- Self directed learning, making and online tutorials
- Industry engaged learning with external speakers and company visits
- Assessed assignments, course work and exams
Assessments methods include:
- Exams and tests
- Assessed course work
- Portfolio based project
- Critical essays
- Presentations through a range of media
The information outlined is an indicative structure of the course. Whilst we will aim to deliver the course as described on this page, there may be situations where it is desirable or necessary for the University to make changes in course provision, for example because of regulatory requirements or operational efficiencies, before or after enrolment. If this occurs, we will communicate all major changes to all applicants and students who have either applied or enrolled on the course.
In addition, the provision of course options which depend upon the availability of specialist teaching, or on a placement at another institution, cannot be guaranteed. Please check this element of the course with the course team before making a decision to apply.
We will update this course from time to time with new information as it becomes available. In the meantime, if you have any questions, please contact us.