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1 Year On Campus Masters Program
Queen Mary University of LondonThe MSc AI for Computer Games Development teaches you to apply AI, machine learning, and game design together, enabling you to build intelligent game agents, procedural content, and player models. It suits students with computing or software engineering backgrounds who want careers in game studios, interactive systems, or research in Game AI.
Curriculum Structure
Students begin with core modules such as Multi-platform Game Development, Artificial Intelligence in Games, and Fundamentals of Game Design, where you'll learn the basics of game engines, agent behaviour, procedural methods, and design theory. In later modules you cover Interactive Agents and Procedural Generation, Computational Game Design, Statistical Planning and Reinforcement Learning, and Computational Creativity, expanding into game-specific AI, content generation, and advanced learning methods. The programme concludes with a major individual Project where students develop a substantial games-AI system or research prototype under supervision.
Focus areas: “Game AI; Procedural Content Generation; Player Modelling; Reinforcement Learning; Game Engines; Computational Creativity”
Learning outcomes: “Build intelligent agents and procedural systems for games; apply ML and RL to game-specific challenges; understand game design principles; deliver a project producing game-AI prototype; gain industry-relevant tools and workflows.”
Professional alignment (accreditation): Delivered by QMUL’s School of Electronic Engineering and Computer Science, benefiting from strong research in AI and Games and connections with industry partners via IGGI.
Reputation (employability rankings): QMUL is part of the Russell Group, known for strong research output; graduates from this programme have gone on to roles in game studios and interactive entertainment.
This programme is intensely practical, focusing on applying advanced AI techniques directly to game development challenges. You will build your skills using the University's specialist facilities and industry-standard game engines, creating functional AI systems for interactive experiences. This hands-on philosophy is delivered through:
Specialist Games and AI Software: The curriculum is built around practical work with core industry tools, primarily the Unity and Unreal Engine game development platforms, often using C++ and C# for programming game AI.
Substantial Individual Project: A major component is a significant final project where you will design and develop a sophisticated piece of game AI, demonstrating technical proficiency and creative application.
Access to Research Groups: The programme is supported by the Cognitive Science Research Group and the Computer Vision and Learning Lab, providing insight into cutting-edge AI research applicable to character behaviour and procedural content generation.
Practical, Project-Based Modules: Learning is centred on developing functional prototypes in modules focused on AI, graphics, and game design, simulating a professional development environment.
Graduates of the MSc Advanced Computer Science at Queen Mary University of London enjoy excellent outcomes, with 93% securing employment or further study within 15 months, and an average starting salary of around £42,000 per year. Typical roles include software developer, data analyst, network engineer, and user experience designer, reflecting the program’s preparation for diverse and high-demand tech careers. This degree equips students with advanced skills in AI, machine learning, data engineering, and human-computer interaction, placing them in strong positions across industry and research sectors.
Specifically:
Queen Mary’s Careers and Employability Service offers tailored support including job application workshops, networking events with companies like Google, IBM, and NASA, and internship placements.
Employment stats show a high employment rate of 93% within 15 months post-graduation, with graduates working at firms such as BBC, Deloitte, Vodafone, Goldman Sachs, and Wipro.
The program has strong industry partnerships providing students with project collaboration opportunities and insights into emerging technologies.
Accredited by BCS, The Chartered Institute for IT, the MSc meets professional standards beneficial for Chartered IT Professional (CITP) recognition.
Graduates proceed to roles in leading tech companies, public sector IT services, and research labs, equipped with a comprehensive and contemporary skill set.
Further Academic Progression:
Graduates often continue their studies with PhD programs at Queen Mary or other global institutions, focusing on specialized research in AI, data science, human-computer interaction, or cybersecurity to deepen expertise and career impact
A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Software Engineering, Information Technology, Mathematics or a related discipline.USA- UK 2:1 degree: GPA 3.2 out of 4.0India - Bachelor Degree (minimum 3 years) from selected institutions. UK 2:1 degree: 60% to 70%IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and SpeakingTOEFL minimum score 92 overall with 21 in Writing, 19 in Reading, 18 in Listening and 21 in SpeakingProgrammer at UbisoftGame and Experience Designer at Tata Consultancy ServicesUnity Developer at Kinetic Arts LabSenior Game and Experience Designer at Tata Consultancy ServicesSoftware Engineer at companies including China Telecom and HuaweiFull Stack Developer at TencentProduct Manager at Zaihui
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