QUEEN MARY UNIVERSITY OF LONDON

Program Information at
Queen Mary University of London

The programme information at Queen Mary provides the academic reference for the Queen Mary component of this transnational programme. It outlines the programme structure, study content and the academic framework associated with Robotics and AI Engineering.

4 Years Programme duration
131 Credits Total programme credits
QMUL × KMUTT International collaboration

The curriculum combines engineering foundations with robotics, artificial intelligence and data, together with project-based learning. The Queen Mary programme information provides the detailed academic reference for the Queen Mary side of the programme.

Program Information at Queen Mary University of London
PROGRAM OVERVIEW

A Transnational Robotics & AI Engineering Education

A four-year, 131-credit international engineering programme jointly developed and delivered by King Mongkut’s University of Technology Thonburi (KMUTT) and Queen Mary University of London.

KMUTT and Queen Mary University of London collaboration Shape Shape

Transnational Dual-Award

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Study in an international engineering environment designed through collaboration between KMUTT and Queen Mary University of London.

Robotics and AI engineering students Shape Shape

131-Credit Programme

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A structured four-year engineering curriculum combining foundations, robotics, AI & data, and project-based learning.

International engineering faculty Shape Shape

Flying Faculty

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Queen Mary University of London academics contribute to core modules in Thailand while integrating local KMUTT engineering expertise.

Robotics engineering laboratory Shape Shape

Robotics Engineering

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Build engineering foundations in modelling, sensors, mechatronics, robotics and control systems.

Artificial intelligence and data engineering Shape Shape

Artificial Intelligence & Data

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Progress from programming and AI fundamentals to machine learning, deep learning and data science.

Project-based robotics learning Shape Shape

Project-Based Learning

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Apply knowledge through experimentation, design activities and Robotics & AI Engineering Projects.

Industrial robotics and engineering experience Shape Shape

Industrial Experience

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Industrial training or short-term research connects students with industrial and academic networks.

Global engineering perspective Shape Shape

Global Engineering Perspective

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Develop communication, professional practice and lifelong learning for diverse engineering environments.