Data and Artificial Intelligence Engineering

Program Overview

Duration of Study

4 ปี

Total Program Cost

1,800,000 THB

Program Type

2 Institutions

Language of Instruction

English

Course Title

EnglishData and Artificial Intelligence Engineering

Program Highlight

  • Dual Degrees from Two Top-Tier Universities Earn degrees from both universities. KMUTT is Thailand’s number 1 Science & Technology University. Queen Mary University of London is UK’s top-tier research university, a member of the prestigious Russell Group.
  • Expert Faculty Delivered by experts from both universities. Core modules taught by Queen Mary faculty onsite at KMUTT.
  • Complete Data-to-AI Covers the full lifecycle – from data foundations to AI modeling with real-world deployment.
  • Active, Hands-on Learning Focused on practical experience through labs, major projects, and an internship.

Expected Learning Outcomes

1

Solve complex Data and AI problems using solid engineering principles.

2

Design, build, and evaluate intelligent systems for real-world needs.

3

Master modern data platforms, software tools, and advanced AI technologies.

4

Collaborate and lead effectively within multidisciplinary, international teams.

5

Exercise ethical, responsible judgment with a global mindset.

6

Adapt proactively to emerging tech and evolving industry demands.

Duration of Study

The full-time program typically takes 4 years to complete.

Tuition Fees

Flat Rate Tuition
225,000 THB per semester

450,000 THB /year

Total Program Cost

1,800,000 THB / student

Program Structure

General Education

27 credits

Free Electives

6 credits

Specific Courses

98 credits

Mathematics / Science / Engineering

27 credits

Computer Systems

15 credits

AI Engineering

24 credits

Data Engineering

12 credits

Engineering Practices

14 credits

Electives in Data and AI

6 credits

Total

131 credits

Qualifications of Prospective Students

  • Education: High School Diploma or equivalent (eg., M.6 / GED / IB / A-Levels)
  • GPA: 2.75 or higher (or admission criteria)
  • English: CEFR B1 or higher (or equivalent)
  • Demonstrate strong analytical, creative, and international readiness