MSc Applied Machine Learning

Entry requirements

You should’ve achieved an educational level equivalent to an honours degree in either the broad fields of:

• Arts and Design
• Humanities
• a joint computer sciences and arts/humanities degree, or related subject.

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.

Months of entry

September

Course content

Our focused master’s programme offers you a further engagement with the core skills to utilise and innovate machine learning and data approaches to creative applications. Furthermore, the ethical dimension of Artificial Intelligence (AI) is actively explored in this course ensuring you have a deep understanding of the power of this technology.

You will apply scientific principles to support creation of mathematical models of real-world problems through computer programming. Different competencies will be measured across the programme through project work, creative practice and core programming. Special attention will be given to the development of your Applied Machine Learning Final Project that targets your preferred technology sector or domain of work. This is to support your progression to industry or academic research.

What to expect

• Coding for machine learning: You will learn practical coding skills in core modern programming languages, which can be applied in a wide range of AI industries and beyond.
• Project-based learning: You will complete a range of computing projects, applying your skills and knowledge to resolve real world problems.
• Ethical data practices: You will learn how data practices have the potential to impact individuals and society.
• Collaboration and creativity: You will collaborate with your post graduate peers to creatively solve problems together bringing your varied undergraduate experience to advanced problems. This ability is a core attribute sought after by many graduate employers.
• The CCI community: You will join a significant community of students, academics and researchers who are passionate about the future of data and computing. You will also be part of our integrated online community where you can access technical support, events, employment opportunities and more.

Fees and funding