Program structure
![](https://mathematics.sc.mahidol.ac.th/wp-content/uploads/2022/07/pexels-fauxels-3183170-1024x683.jpg)
Program content
You will learn multidisciplinary skills to solve high-value industrial problems and utilize essential techniques of data science and AI-driven models to make predictions that support business decision-making. You will become a graduate with intercultural communications, analytical skills and creative ideas which are required as important skills for the 21st century and be ready for any change, transformation and adaptation.
Students who successfully complete the BSc Industrial Mathematics and Data Science will be able to:
- Make an operational decision systematically to solve industrial problems using appropriate techniques.
- Apply data analysis tools strategically to bolster decision-making under the consideration of data privacy, ethics and protection.
- Carry out independent projects in areas related to industrial mathematics and data science.
- Communicate effectively with target audiences in both written and oral forms in an organized manner.
- Coordinate with others to achieve team goals based on roles of an industrial mathematician and a data scientist.
Program structure
This section shows the program structure for students who choose to spend the entire 3.5 years at Mahidol University. Details on obtaining the dual degree can be found on the Curtin University webpage.
Students require at least 120 credits to graduate with a BSc Industrial Mathematics & Data Science degree from Mahidol University. The credit structure is as follows:
Students need to complete 30 credits of general education courses. Minimum credits for each of the following categories are also required.
Category | Minimum credit requirements |
Social Sciences and Humanities | 2 |
Languages | 2 |
Science and Mathematics | 2 |
Students need to complete 84 credits of specific courses. Minimum credits for each of the following categories are also required.
Category | Minimum credit requirements |
Core courses | 30 |
Major elective courses | 54 |
Students need to complete 6 credits of free elective courses.
Recommended study plan
Students can complete the BSc Industrial Mathematics and Data Science program within a regular period of 3.5 years. Each academic year consists of two regular semesters (16 weeks). Below is the recommended study plan:
Semester I
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester II
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester I
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester II
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester I
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester II
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester I
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Semester II
Code | Course title | Credits |
SCMA XXX | YYY | Z |
Key information
- Duration: 3.5 years
- Location: Phyathai Campus
- Next intake: August 2023