AI-Integrated Mechanical Engineering

The future of automation and robotics lies where mechanical systems meet intelligent algorithms.

AI-Integrated Mechanical Engineering bridges the gap between the physical and the intelligent.
In a world of automation, autonomous systems, and intelligent machines, the ability to design mechanical systems that can sense, think, and act is more important than ever.

This program empowers students with solid foundations in thermodynamics, dynamics, and control — enhanced by AI and data-driven modeling — to tackle engineering challenges that require more than just code or circuits.

From autonomous vehicles and robotic arms to smart HVAC and energy systems, graduates will lead the next wave of mechatronic and cyber-physical innovation.

Program Overview

This track is part of the AI-Integrated Engineering Program (AIEP) and offered as an international program under the Department of Mechanical Engineering.

Bachelor’s Program: Bachelor of Engineering in Mechanical Engineering (International Program)
Master’s Program: Master of Engineering in AI-Integrated Engineering (Regular Thai curriculum)
First intake: Academic Year 2026
Number of Students: 60
Admission Channels: TCAS1 (Portfolio) IUP
Not offered in the regular and special program

Program Highlights

Combine mechanical systems modeling with AI-based prediction and control
Emphasize simulation, sensor integration, and mechatronic systems, for Industry 4.0 and cyber-physical applications
Capstone and Master’s Projects address real-world challenges in robotics, sustainable mobility, energy systems, and smart automation
Joint courses from mechanical and computer engineering departments
Strong industry collaboration in smart manufacturing, automotive, energy, and robotics, including internships, joint labs, and co-supervised research
Training in digital twin technologies and model-based systems engineering for predictive maintenance and performance optimization
Integration of IoT, embedded systems, and real-time data analytics into mechanical design and control courses.
Opportunities for international collaboration and exchange programs with partner universities and global research institutes.

What You’ll Learn

Students will master dynamics, thermofluids, and control systems with advanced simulation tools, developing a solid foundation in mechanical engineering principles enhanced by computational modeling. The program teaches applied AI for system identification, predictive control, and fault detection, enabling students to create intelligent mechanical systems that can monitor and optimize their own performance.

The curriculum covers comprehensive mechatronics education, including sensors, actuators, controllers, and embedded AI, preparing students to design integrated systems that seamlessly combine mechanical, electrical, and intelligent components. Students will learn to develop autonomous systems for vehicle, drone, and robotic navigation, gaining expertise in the technologies driving the future of mobility and automation.

The program also focuses on energy systems with AI applications for HVAC, renewable integration, and efficiency optimization. This knowledge prepares students to address critical challenges in energy management and sustainability while leveraging artificial intelligence to maximize system performance and minimize environmental impact.

Sample Capstone and Research Topics

AI-enhanced control system for autonomous ground vehicle
Predictive maintenance for industrial machinery using vibration data
Energy optimization for HVAC using reinforcement learning
Robot arm trajectory planning using neural networks
Smart mobility platform: mechanical + perception + planning integration

Industry & Research Partners

KU-Mech x Siemens-Daikin-Delta
Misumi x KU-Mech Hardware Library
Denso Company
Rockwell Automation
Azbil Experience Space @ KU
Energy research and automation labs at Kasetsart University

4+1 Pathway

Students must meet academic requirements by their 3rd year by taking AI foundational courses.
Students start enrolling Master’s courses also in the 4th year. (See information for the M.Eng in AI-Integrated Engineering program.)
4th-year project linked to Master’s research in the 5th year.
Two degrees (B.Eng. + M.Eng.) in 5 years for future professionals.

The detailed study plan will be available soon. Read more about the undergraduate AI core courses and the Master program.

Career Opportunities

Autonomous system engineer (robotics, vehicles, drones)
Smart energy and HVAC systems designer
Mechanical engineer with AI focus in mechatronics and automation
Simulation engineer for digital twins
Product innovation in AI-powered hardware systems

Competitive Advantages

Master mechanical and AI integration for real-world engineering systems
Gain edge in robotics, automation, and intelligent control careers
Collaborate across departments in mechanical, computer, and electrical engineering
Be part of a future where machines are not only built — but taught to think

Enrichment Activities

Cross-disciplinary Capstone with AI + mechanics focus
Robotics and automation bootcamps
Internship opportunities in automotive and automation firms
Research exposure to cyber-physical systems and control labs
Special lectures from industry experts and alumni

AI Foundation Courses (Undergraduate Level)

Students will take the following courses during their first 3 years as undergradute students.

Applied AI for Engineering (01204162)
Mathematical Foundations for AI Engineers (course under development)
Programming Concepts for Data Processing and Analysis (course under development)

See course descriptions.

Equivalent internal courses from Mechanical Engineering may be submitted for equivalency review.

Distinctive Graduate Outcomes

Graduates of this track will:

Design mechanical systems integrated with intelligent control
Analyze and simulate physical systems using AI-enhanced tools
Work in automation, mobility, energy, and robotics industries
Bridge traditional mechanical engine