Curriculum
The Bachelor of Science in AI for Science and Technology (AITech) is a 4-year, 124-credit international program combining General Education (24 credits), Specialization (94 credits), and Free Electives (6 credits).
Comprehensive 4-year B.Sc. international degree program.
General Education (24) + Specialization (94) + Free Electives (6).
School of Integrated Science (SIS), Faculty of Science.
General Education
Holistic academic skills and English communication
Specialization
AI science foundations, core courses & capstone
Free Electives
Interdisciplinary studies across Chula faculties
Choice of any accredited courses across Chulalongkorn University to broaden personal interest.
Four-Year Progression Structure
A coherent chronological roadmap from basic mathematical and computing skills to specialized generative AI and transformative industry capstones.
Year 1: Basic Math & Computer Science Skills
Mastering computational foundations, mathematical rigor, and algorithmic problem-solving.
- • Mathematics & Calculus for Science
- • Probability & Inferential Statistics
- • Programming Fundamentals (Python / C++)
- • Algorithms & Web Architecture
- • Computer Systems & AI Ethics
Year 2: Explore Broader Range of Knowledge
Deep-diving into machine learning theory, deep neural networks, and interdisciplinary scientific datasets.
- • Mathematical Foundations for AI
- • Machine Learning & Big Data Science
- • Deep Learning & Data Representation
- • Science for Digital Technology
- • Hands-on Projects & Scientific Communication
Year 3: Advanced AI & Specialized Tracks
Developing enterprise generative models, scalable cloud infrastructures, and domain specialization.
- • Generative AI & LLM Systems
- • Cloud Technologies & Distributed MLOps
- • Specialized Tracks (Life Science / Materials / Robotics)
- • Mini Capstone Research Projects
- • International Exchange & Lab Mobility
Year 4: From Innovation to Impact
Translating research into industry impact through capstone projects, full-time field experience, and startup commercialization.
- • Senior Capstone Research Thesis
- • Field Experience & Co-op Internship (10 Credits)
- • Deep Tech Commercialization & Startups
- • Global Research & Career Readiness
General Education & Core Foundation (24 Credits)
| Code | Course | Credits |
|---|---|---|
| GENED | General Education (Core & Humanities/Social/Science) | 12 |
| LANG | Language Courses (English for Academic & Professional Purposes) | 12 |
| SCIBASIC | Basic Science Courses (Calculus, Linear Algebra, Natural Sciences) | 15 |
| CORE51 | Major Required Core (Programming, ML, Deep Learning, AI Systems) | 51 |
Specialized Elective Tracks (18 Credits)
| Code | Course | Credits |
|---|---|---|
| ELECT18 | Specialized Domain Electives (Life Sciences, Materials, Robotics, Generative AI) Choose 18 credits from approved elective tracks | 18 |
Field Experience & Capstone (10 Credits)
| Code | Course | Credits |
|---|---|---|
| EXP10 | Field Experience, Capstone & Industry Co-op Projects | 10 |
Free Electives (6 Credits)
| Code | Course | Credits |
|---|---|---|
| FREE06 | Free Elective Courses (Any faculty across Chulalongkorn University) | 6 |
Potential Career Paths
Graduates of AITech are equipped to create intelligent solutions and pursue careers in AI, data, software, and technology-driven fields.
AI & Machine Learning Engineer
Design, build, and deploy production-grade deep learning architectures, LLM systems, and high-performance ML pipelines.
Data Scientist & Data Analyst
Transform massive multi-dimensional scientific, financial, and industrial datasets into predictive strategic intelligence.
Generative AI & Cloud Developer
Engineer scalable cloud-native AI applications, generative models, and distributed AI microservices.
Software & Full-stack Developer
Develop modern, high-throughput software systems, scientific web platforms, and intelligent APIs.
Scientific & Digital Technology Specialist
Integrate artificial intelligence across chemistry, physics, genomics, and computational biology to drive scientific discovery.
AI Researcher & Technology Entrepreneur
Pioneer groundbreaking AI research and commercialize deep-tech inventions into high-growth startups.
Further Studies & Research Areas
Artificial Intelligence and Data Science
Advanced research in machine learning theory, deep neural networks, and mathematical modeling.
Computer Science and Software Engineering
Distributed computing, systems architecture, cybersecurity, and algorithms.
Bioinformatics and Scientific Computing
Genomic data science, molecular dynamics, computational biology, and structural modeling.
Robotics and Intelligent Systems
Autonomous navigation, reinforcement learning, computer vision, and physical AI.
Digital Technology and Innovation Management
Technology commercialization, venture creation, and digital transformation leadership.
Assessment, Grading System & Degree Honors
Standardized Chulalongkorn University grading scale, graduation honors eligibility, and academic standing regulations.
| Grade | Achievement | Points |
|---|---|---|
| A | Excellent | 4.00 |
| B+ | Very Good | 3.50 |
| B | Good | 3.00 |
| C+ | Fairly Good | 2.50 |
| C | Fair | 2.00 |
| D+ | Poor | 1.50 |
| D | Very Poor | 1.00 |
| F | Failed (Repeat Course) | 0.00 |
First Class Honors (เกียรตินิยมอันดับ 1)
GPAX ≥ 3.60Awarded to graduating seniors completing the 4-year degree with GPAX ≥ 3.60, with no failing grade (F/U) in any course.
Second Class Honors (เกียรตินิยมอันดับ 2)
GPAX ≥ 3.25Awarded to graduating seniors with GPAX ≥ 3.25 completed within 4 academic years with no failing grades.
Academic Standing & Graduation
• Good Standing: GPAX ≥ 2.00 across all registered courses.
• Graduation Requirement: Minimum 124 credits completed with GPAX ≥ 2.00 and certified English proficiency.
• Full regulations are governed by Chulalongkorn University Undergraduate Regulations.