Bachelor + Master (4+1) Programs

A fast-track program that empowers students to complete both a Bachelor’s and AI-Integrated Master’s degree within 5 years — without compromising professional depth or AI expertise.

AI-Integrated Engineering 4+1 Program

What is the 4+1 Program?

The 4+1 Pathway is a fast-track academic structure that allows qualified undergraduate students to continue seamlessly into the Master of Engineering in AI-Integrated Engineering, completing both degrees within five years.

  • 4 years in your home department (e.g., Mechanical, Civil, Environmental, etc.)
  • 1 extra year to complete the AI-Integrated Master’s degree
  • Integrated coursework, capstone, and research planning
  • Saves time and tuition while preparing you for AI-driven innovation

Why Choose the 4+1 Program?

This pathway ensures that:

  • You maintain full professional depth in your core engineering field
    • You will graduate from your home department (e.g., Civil, Chemical, Mechanical) as a full-fledged engineer.
  • You gain real, hands-on AI expertise
    • Not just using tools — you will build models, write code, and solve real problems under guidance from AI experts in Computer Engineering.
  • You upgrade your profile to match the demands of the modern engineering workforce
    • AI-literate engineers are in high demand across all fields — from energy and manufacturing to infrastructure and smart cities.
  • You enjoy interdisciplinary learning
    • Study and collaborate across departments with peers from different AI+X Engineering tracks.

How It Works

Year Study Focus
1–3 Core undergraduate coursework in your home department + AI core electives
4 Undergraduate capstone project with AI integration + Master’s level AI courses
5 Master’s-level AI courses + Thesis

The detailed study plan for each track will be available soon. You can see the descriptions for the AI core electives. Also see the information of the Master of Engineering in AI-Integrated Engineering program.


Who Is This For?

  • Students who are ambitious and want to go beyond a traditional B.Eng.
  • Those who want to lead AI transformation in their industries
  • Learners who want to combine engineering with data, algorithms, and intelligence

Admission to Year 5 (Master’s)

To continue into the Master’s year, you must:

  • Meet GPA and academic readiness requirements
  • Complete required undergraduate AI electives
  • Propose a capstone project aligned with your master’s thesis or applied AI project

Admission is selective and competitive, ensuring that only committed students proceed.


Long-Term Benefits

  • Dual credential: B.Eng. (your major) + M.Eng. (AI-Integrated Engineering)
  • High employability in AI + Engineering roles
  • Opportunities in smart cities, advanced manufacturing, robotics, and sustainability sectors
  • Smooth transition into Ph.D. or research roles (if desired)

Where to Start?

Explore each track to see how AI can amplify your engineering journey:


This program is part of the AI-Integrated Engineering Program (AIEP) at Kasetsart University.


AI-Integrated Civil Engineering

Civil Engineering for the AI age—designing intelligent, sustainable, and data-driven infrastructure.

AI-Integrated Environmental Engineering

The future of environmental engineering with AI for sustainability, climate resilience, and smart cities.

AI-Integrated Industrial Engineering

The next-generation industrial engineering program focused on smart factories, logistics automation, service operations, and decision intelligence.

AI-Integrated Materials Engineering

The next-gen materials engineering program for smart manufacturing, semiconductors, and AI-powered innovation.

AI-Integrated Mechanical Engineering

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

Chemical Engineering Integrated with AI, Business, and Sustainability (International Program) (IChEˣ)

Preparing next-gen chemical engineers for data-driven innovation in chemical, food, pharmaceutical, and energy industries.

AI-Integrated Electrical Engineering

Redefining electrical systems with smart energy, embedded AI, autonomous control, and intelligent communication.

AI-Integrated Water Resources Engineering

Transforming Water Resources Engineering with AI and Data for Sustainable Water Security.