A prestigious dual-degree program
Robotics & AI Engineering For The Future
A Queen Mary University of London education in Bangkok
One Programme. Two Degrees.
A 131-credit transnational dual-award programme jointly delivered by Queen Mary University of London (QMUL) and King Mongkut’s University of Technology Thonburi (KMUTT).
B.Eng - Robotics and AI Engineering
B.Eng - Robotics and AI Engineering
A Russell Group University With A Global Research Community
Queen Mary University of London (QMUL) is a research-intensive university and a member of the Russell Group. Based in London, Queen Mary brings together a diverse international community and research across science, engineering, medicine, law, humanities and social sciences.
Russell Group
University
London
Students
Nationalities
Community
Meet The Academic Team Behind Robotics & AI Engineering
Dr. Poj Tangamchit
Associate Professor
Dr. Majid Taghavi
Associate Professor
Dr. Thilina Lalitharatne
Assistant Professor
Dr. Sarawan Wongsa
Assistant Professor
Dr. Jiravit Pratvittaya
Teacher
Dr. Witchuda Thongking
TeacherWhat Students Will Develop Through The Programme
The programme develops capabilities in robotics and AI engineering, communication, professional practice, experimentation and lifelong learning.
Solve Real-World Problems
Apply robotics and AI engineering principles to real-world problems.
Engineering Solutions
Produce solutions that meet specified engineering requirements.
Effective Communication
Communicate effectively with team members and others.
Professional Development
Demonstrate professionalism in academic and career development.
Work Integration
Develop human skills for work integration and management.
Experiment & Analyse
Conduct experimentation and analyse and interpret data using engineering standards.
Lifelong Learning
Acquire and apply new knowledge throughout professional development.
From Engineering Foundations To Robotics & AI
Mathematics, Physics & Programming
Sensors, Control & AI
Robotics, Machine Learning & Data
Robotic Systems & Intelligent Applications
98 Specific Courses
Basic Engineering, Computing, Robotics, AI & Data and Project-based Learning.
27 General Education
General education within the 131-credit programme structure.
AI & Data
Artificial intelligence, machine learning and data-focused engineering.
Robotics & Automation
Robotics, automation, industrial software, IoT and system integration.
131 Credits Designed For Future Engineering Careers
27 General Education + 98 Specific Courses + 6 Free Electives = 131 Credits.
