Bachelor of Engineering Programme in
Robotics and Artificial Intelligence Engineering

(International Program)

Shape Industry 5.0 by building human-centric, sustainable, and resilient robotic systems.

Integrate advanced robotics, mechatronics, and embedded AI to solve complex global challenges.

Program Overview

Learn to design, build and control robots by bringing together mechanical systems, electronics, sensors and software. Progress from engineering design and system modelling to robotics, embedded AI and human-robot interaction. Apply your knowledge through practical projects that integrate intelligent behaviour with the movement and control of physical machines.

Degrees Awarded

KMUTT

B.Eng. (Robotics and Artificial Intelligence Engineering)

Queen Mary University of London

BEng Robotics and AI Engineering

Program Structure

Total number of credits : 131 credits
A. General Education 27 credits
Compulsory Learning 21 credits
Elective Learning 6 credits
B. Specific Courses 98 credits
Basic Engineering 21 credits
Computing 6 credits
Robotics 42 credits
AI & Data 21 credits
Project-based Learning 8 credits
C. Free Elective 6 credits
Free Elective Learning 6 credits

What you will study

Y1: Maths, physics, programming and design.
Y2: Circuits, modelling, sensing and introductory AI.
Y3: Robotics, embedded AI and machine learning.
Y4: Control, human-robot interaction and final project.

Learn from both universities

Queen Mary

Robotics technologies, machine learning and robot control.

KMUTT

Electrical circuits, sensors and embedded AI.

Together

Final-year robotics and AI project.

Skills you will develop

Combine mechanisms, electronics and software to develop robotic solutions.

Apply AI and control methods to meet a design brief. Plan experiments, interpret results and evaluate how a system performs.

Communicate technical ideas, manage work with others and keep developing your engineering knowledge and professional skills.

Put learning into practice

Experiments, modelling and design tasks; industrial training or short-term research; a two-part final-year project. Assess through exams, lab work, prototypes, reports and presentations.

Career Opportunities

  • Robotics Engineer
  • Artificial Intelligence and Machine Learning Engineer
  • Automation and Control Engineer
  • Mechatronics Engineer
  • Intelligent Automation Engineer

Reserve your interest

Register today to unlock exclusive early access. Secure your family’s priority status for the 2027 admissions cycle and gain a clear pathway into a highly selective program, admitting only 240 students across three premier degrees.

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