Master the full data-to-intelligence pipeline.
Gain high-demand functional competencies in cloud computing, generative AI, and real-world AI deployment.
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.
B.Eng. (Data and Artificial Intelligence Engineering)
BEng Data and Artificial Intelligence Engineering
| 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 |
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.
Programming, machine learning and computer vision.
Databases, data engineering and cloud computing.
Design-and-build and final-year projects.
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.
Computing exercises, a design-and-build project, workplace experience and a two-part final-year project. Assess through exams, practical assignments, reports and presentations.
The tuition fee is 225,000 THB per semester (450,000 THB per year). The total tuition fee for the four-year programme is 1,800,000 THB.
