Data Science and AI in Creative Industries MSc

**Learn how computer science, data analytics, and AI drive innovation and enhance everyday experiences in the creative industries.**<br/><br/>The MSc in Data Science and AI in Creative Industries builds on your experience in creative and non-technical subjects to prepare you for professional roles in the rapidly evolving fields of creative technology, data science and AI. This course takes an experimental and exploratory approach, enabling you to investigate fundamental conceptual and technological frameworks. You will engage with a range of computational approaches to data science questions, using your specialist knowledge to interrogate and redefine the boundaries of data science and AI, presenting innovative solutions based on experimental research data and methods. This course is for those looking to break into data science and AI from non-technical backgrounds.<br/><br/>The course focuses on tackling complex data science problems within creative technology and functional AI. Through project-based learning, you will enhance your skills in modern programming languages, machine learning methods, experimental tools, and data analysis. The course supports a critical and ethical approach, reflecting on the social implications of data science and AI on society. There is an emphasis on interdisciplinary collaboration and creative problem-solving to strengthen your technical and teamwork skills, critical thinking, and your proficiency in analysing, validating, and interpreting data.<br/><br/>**Why study with us**<br/><br/><br/>- Advanced technical skills: Develop your expertise in modern programming languages, machine learning methods, experimental tools, and data analysis, creating sophisticated, clean, and efficient solutions.<br/><br/><br/>- Interdisciplinary approach: Benefit from shared delivery with other postgraduate courses, fostering a collaborative environment that reflects industry practices and promotes knowledge-sharing and interdisciplinary interaction.<br/><br/><br/>- Professional-level resources: Utilise a wide range of professional resources, including contemporary technology and industry-standard tools, media labs, 2D & 3D studios, workshops, computer labs, high-specification PCs, digital darkrooms, analogue and digital resources, licensed specialist software, a media resource centre, and the Make Space, supporting you in creating practical and creative solutions to project briefs.<br/><br/><br/>- Ethical and inclusive research: Adopt an ethical approach to your work, focusing on the social and ethical implications of data science and AI, and emphasising accessibility, equality, diversity, and sustainability.<br/><br/><br/>- Professional portfolio development: By the end of the course, you will have created a professional body of work that reflects your interests and prepares you for industry, enhancing your ability to communicate research visually.<br/><br/><br/>- Innovative problem solving: Engage with complex computational problems through project-based learning, promoting original and innovative approaches to technical proficiency and professional working methods.<br/><br/><br/>**Course structure**<br/><br/>This course is part of our suite of Master’s in Computing, Games and Data Science, offering a collaborative framework across various specialisations, also including MSc Creative Computing and MSc Games Computing. This provides students with opportunities to engage with peers from different disciplines while working on individual assignments. Such collaboration mirrors the professional dynamics in the creative industries today, allowing students to gain valuable experience in interdisciplinary teamwork and real-world problem-solving.<br/><br/>This programme is a one-year course, including 30 weeks of direct teaching time and a 15-week final project. You will need to complete five units and one 60-credit major project (180 credits in total). All units on the course are compulsory and must be passed in order to complete the award. If you study part-time your modules will be split across two years.