Artificial Intelligence for Games MSc

Modules

Development Practice

You’ll deepen your knowledge of game development practices. Working in interdisciplinary teams and employing specialist skills such as C++ programming and git versioning practices, you’ll devise small-scale artefacts. You’ll also carry out a personal reflective case study that will help to enrich and expand your practice. 

(30 credits)

Classical Artificial Intelligence

In this Classical AI module, you’ll investigate and implement ‘classical’ artificial intelligence techniques that are commonly applied to decision-making problems in industry. 

(30 credits)

Modules

Machine Learning

In this module, you’ll employ current machine learning frameworks to analyse data-rich problem spaces. 

(30 credits)

Game Development Project

Working in multidisciplinary teams from across the Games Academy, you’ll envision, design, implement and pitch a game prototype.

(30 credits) 

Modules

Major Project

For the final stage of this Artificial Intelligence for Games MSc, you’ll work on a major research and development project, under the guidance of a supervisor, that showcases your specialist skills. The work produced for this module is expected to be fully realised, polished and of a publishable quality. 

(60 credits) 

With regularly timetabled support sessions from our course team and project supervision throughout, you’ll learn to produce games to a high standard, collaborating effectively as a member of a game development team and conducting cutting-edge research and development independently.  

• Demonstrations
• Studio practice
• Project supervision
• Lectures
• Seminars
• Practical workshops
• Crit sessions
• Tutorials
• Guest speakers
• Mentoring

Assessment for the Artificial Intelligence for Games MSc is 100% coursework. Learning is situated in an environment that mirrors the industry, helping to prepare you for working in a game studio environment. 

Assessments are composed of practical activities underpinned by critical analyses of the workflows and practices applied in the module to further support your learning. 

Module leaders and supervisors will be available to guide and support you through your assessments to enhance your relevant technical and academic skillsets. 

We welcome applicants with varied qualifications, but typically you’ll need an undergraduate degree in computing, software engineering, game programming or related fields. You’ll also need experience in computer programming. Our typical applicants hold an undergraduate degree of 2:2 or above, or equivalent experience. Applicants should also have GCSE Mathematics and GCSE English Grade 4 (C), or equivalent. 

We’ll also welcome your application if you have formal or 'certified' learning (such as training courses not run by universities or colleges) and learning from work experience or self-study. This is called Accreditation of Prior Learning (APL), and should have been gained within the last five years, and be equivalent to the learning outcomes of our minimum entry qualifications. 

APL applicants using experience to apply should note there is an application fee for entry with advanced standing or with exemption from specific modules or credit. 

If English isn’t your first language, you'll need to demonstrate English language skills that are sufficiently developed for successful completion of your studies. We accept a range of recognised English language qualifications that are equivalent to the International English Language Testing System (IELTS) Academic minimum score of 6.5 overall, with a minimum of 6.0 in Speaking, and a minimum of 5.5 in Reading, Writing, and Listening. 

International applicants who require a student visa to study in the UK must take a recognised language test that is approved and vouched for by the University. Our Applicant Services Team can help with any questions you may have about study visas or suitable language tests.