The MSc programme in Data Science for Sustainability is a collaboration between the Department of Statistics and Data Science and the Centre for Nature-based Climate Solutions, in partnership with Department of Biological Science. The programme is to train data scientists who can integrate their knowledge and skills with an understanding of sustainability issues.
The demand for professionals with skills in the field of both robust data science and sustainability is increasing rapidly. The growing demand opens exciting and diverse career opportunities. Our programme is designed to equip graduates with the necessary technical and analytical abilities to effectively meet the demand.
Science
Statistics and Data Science
dss@nus.edu.sg
dss@nus.edu.sgThe Department of Statistics and Data Science (DSDS) aims to advance statistical and data science, and its applications within the community. The department offers Bachelor of Science degrees in Statistics, Data Science and Analytics, and Data Science and Economics. We offer two graduate coursework degrees at Master’s level, the MSc in Statistics, and the MSc in Data Science for Sustainability.
The Department also has a PhD programme providing training for students interested in research. Our distinguished faculty members can supervise research topics in various areas of statistics and data science, including statistical methodology, data analysis, machine learning, and beyond. Their research covers theoretical and practical perspectives and they work in collaboration with professionals from diverse disciplines to tackle real-world challenges.
In addition to their research, our faculty members are committed to excellence in teaching and are dedicated to preparing the next generation of statisticians and data scientists. They offer students hands-on learning experiences, opportunities for independent research, and a strong emphasis on critical thinking and problem-solving skills, essential for a successful career in the field.
No scholarships provided for the programme
| Commitment | Average Candidature | Maximum Candidature |
|---|---|---|
| Full Time | 1 Year | 2 Years |
| Part Time | 2 Years | 4 Years |
- A 4-year bachelor degree in quantitative subject, such as Mathematics, Engineering, Statistics, Computer Science, Physics, or Economics, etc.
- A 4-year bachelor degree in a relevant non-quantitative subject, such as Environmental Sciences, Life Sciences etc., is acceptable if complemented by a minor or second major in a quantitative subject, indicating strong analytical skills.
- Strong candidates with a relevant 3-year Bachelor’s degree or a 4-year Bachelor’s degree in a non-quantitative subject may be considered on a case-by-case basis, depending on their professional experience. It is subject to approval by the Graduate Programme Committee.
| Criteria | Minimum Score | ||
|---|---|---|---|
| English Proficiency Tests | TOEFL Internet-based | 85 / 120 | |
| IELTS | 6 / 9 | ||
For detailed admission criteria, please refer to our programme website.
| Category | Application Window | Application Result Released | |
|---|---|---|---|
Semester 1 Intake (August) | All students of any nationalities | Application Opens: October 1 2025 Application Closes: January 31 2026 | On rolling basis (All applicants (early and regular admission rounds) for August intake will be notified latest by June 30 of the intake year.) |