Bachelor of Engineering Programme in
Data and Artificial Intelligence Engineering

(International Program)

Master the full data-to-intelligence pipeline.

Gain high-demand functional competencies in cloud computing, generative AI, and real-world AI deployment.

Program Overview

Explore how artificial intelligence learns from data, understands images and language, and supports decisions. Progress from foundations in computing and mathematics to machine learning, generative AI and intelligent applications. Bring together AI, data and software engineering to design, build and evaluate responsible solutions to practical problems.

Degrees Awarded

KMUTT

B.Eng. (Data and Artificial Intelligence Engineering)

Queen Mary University of London

BEng Data 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
Foundations 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
C. Free Elective 6 credits
Free Elective Learning 6 credits

What you will study

Y1: Maths, physics, programming, computer systems.
Y2: Algorithms, databases, web applications, data and AI.
Y3: Machine learning, generative AI, cloud and design-build.
Y4: Vision, language, decisions, electives and final project.

Learn from both universities

Queen Mary

Programming, machine learning and computer vision.

KMUTT

Databases, data engineering and cloud computing.

Together

Design-and-build and final-year projects.

Skills you will develop

Design data and AI systems that meet practical needs. Build and evaluate models using appropriate data, software and engineering tools.

Use experimental evidence to judge performance and improve solutions.
Explain technical ideas, collaborate in diverse teams and consider the ethical and wider effects of AI.

Put learning into practice

Computing exercises, a design-and-build project, workplace experience and a two-part final-year project. Assess through exams, practical assignments, reports and presentations.

Career Opportunities

  • Data Engineers
  • Machine Learning Engineers / AI Engineers
  • AI Software Developers
  • Software Engineers
  • Platform Engineers
  • Data Scientists
  • Data Analysts / Business Intelligence Specialists
  • AI Researchers
  • Automation Engineers

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.

    First name and Last name*

    Your role*

    Email*

    Field of interest*

    Message