Curriculum
Course structure, year-by-year study plan, careers and grading for the B.Sc. in AI for Science (AISCI) at Chulalongkorn University.
AISCI brings artificial intelligence into the world of scientific discovery and technological innovation. The program builds strong foundations in mathematics, programming, data science, and advanced AI, while introducing applications in physics, chemistry, biology, and genetics. Through hands-on projects and real-world learning, students develop the skills to create intelligent solutions and pursue careers or further study in AI, data, software, and technology-driven fields.
-
124
credits in total
-
4
years
-
3
course groups
-
English
language of instruction
- General Education 24 credits
- Specialization 94 credits
- Free Elective Course 6 credits
Curriculum structure
General Education
- General Education 12 credits
- Language 12 credits
24 credits
Specialization
- Basic Science 15 credits
- Required Course 51 credits
- Elective Course 18 credits
- Field Experience 10 credits
94 credits
Free Elective Course
- Free Elective Course 6 credits
6 credits
Study plan by year
- 1
Year 1 · Semesters 1–2
Basic Math & Computer Science Skills
- Mathematics and Statistics
- Programming Fundamentals
- Algorithms and Web Development
- Computer Systems and AI Ethics
- 2
Year 2 · Semesters 3–4
Explore a Broader Range of Knowledge
- Mathematical Foundations for AI
- Machine Learning and Data Science
- Deep Learning and Data Representation
- Science for Digital Technology
- Projects and Communication Skills
- 3
Year 3+ · Semester 5 onward
From Innovation to Impact
- Generative AI and Cloud Technologies
- Mini and Capstone Projects
- Specialized Electives
After graduation
Career pathways and further study in detail →Career paths
- AI and Machine Learning Engineer
- Data Scientist and Data Analyst
- Generative AI and Cloud Developer
- Software and Full-Stack Developer
- Scientific and Digital Technology Specialist
- AI Researcher and Technology Entrepreneur
Fields for further study
- Artificial Intelligence and Data Science
- Computer Science and Software Engineering
- Bioinformatics and Scientific Computing
- Robotics and Intelligent Systems
- Digital Technology and Innovation Management
Grading and honors
The standard Chulalongkorn University grading scale.
-
A
Excellent
Points: 4.00
-
B+
Very Good
Points: 3.50
-
B
Good
Points: 3.00
-
C+
Fairly Good
Points: 2.50
-
C
Fair
Points: 2.00
-
D+
Poor
Points: 1.50
-
D
Very Poor
Points: 1.00
-
F
Failed (repeat the course)
Points: 0.00
| Grade | Meaning | 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 the course) | 0.00 |
Degree honors
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First Class Honors GPAX ≥ 3.60
Complete the credits required by the curriculum with a GPAX of at least 3.60 and no F or U grade in any course.
-
Second Class Honors GPAX ≥ 3.25
Complete the credits required by the curriculum with a GPAX of at least 3.25 and no F or U grade in any course.