The world is currently facing significant sustainability challenges, including climate change, biodiversity loss, water scarcity, pollution. Data science, by uncovering valuable insights from complex economic, environment and social systems, has become a crucial player in supporting the efforts to address the issues. 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.
Updated on 15 October 2024
Programme Structure
The course list below may be updated rather regularly and subject to changes.
Core Courses — Students must complete and pass all 5 Courses. |
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Course code |
Course Title |
Units |
DSS5101 |
Principles of Sustainability |
4 |
DSS5102 |
Advanced Regression and Time Series Analysis |
4 |
DSS5103 |
Geospatial Data Analysis |
4 |
DSS5104 |
Machine Learning and Predictive Modelling |
4 |
DSS5105 |
Data Science Projects in Practice |
4 |
Elective Courses – Students are required to complete any 5 courses. Among the five electives courses, students have to pass at least two out of the three courses: DSS5201, DSS5202, and BL5102 |
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DSS5201 |
Data Visualisation |
4 |
DSS5202 |
Sustainable System Analysis |
4 |
DSS5203 |
ESG Data for Sustainable Finance and Investments |
4 |
DSS5210 |
Research/Industry Project I |
4 |
DSS5211 |
Research/Industry Project II |
4 |
ST5218 |
Advanced Statistical Methods in Finance |
4 |
ST5225 |
Statistical Analysis of Networks |
4 |
BL5102 |
Environmental Science |
4 |
BL5313 |
Food Security and Sustainability |
4 |
SPH5201 |
Control of Communicable Diseases |
4 |
SPH5205 |
Urban Outbreak Management |
4 |
DBA5107 |
Data Analysis in Banking |
4 |
DBA5109 |
Quantitative Risk Management |
4 |
For more information on the DSS-coded courses, please refer to this document.
Fees
Application Fee:
Offer Acceptance Fee:
Tuition Fee Structure for August AY2025 Intake:
Payment Schedule (in SGD)
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Tuition Fee |
Acceptance Fees |
Tuition fees for entire 10-course programme |
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1st Semester |
2nd Semester |
3rd Semester |
4th Semester |
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International Students (Non-NUS Alumni) |
Full-time students |
$52,320 |
$5,450 |
$20,710 |
$26,160 |
– |
– |
Part-time students |
$5,450 |
$7,630 |
$13,080 |
$13,080 |
$13,080 |
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NUS Alumni+ |
Full-time students |
$41,856 |
$5,450 |
$15,478 |
$20,928 |
– |
– |
Part-time students |
$5,450 |
$5,014 |
$10,464 |
$10,464 |
$10,464 |
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Local Students* |
Full-time students |
$31,392 |
$5,450 |
$10,246 |
$15,696 |
– |
– |
Part-time students |
$5,450 |
$2,398 |
$7,848 |
$7,848 |
$7,848 |
+All NUS alumni (regardless of nationality), enrolling into MSc Data Science for Sustainability programme, enjoy an increased 20% tuition fee rebate – up from 15% previously.
*All Singapore Citizens and Singapore Permanent Residents (alumni and non-alumni), enrolling into MSc Data Science for Sustainability programme, are extended a 40% tuition fee rebate – up from 15% previously.
Note:
Miscellaneous Student Fees:
Admissions Criteria
Application Period and Requirements
Early Admission Round (August AY2025 intake) – CLOSED
Application Period: 16 May 2024 to 15 July 2024
Due to high volume of applications, our graduate programme committee is screening through all the applications in batches. Applicants who are not shortlisted in the early admission round will be automatically rolled over to the regular admission round. All applicants will hear from us latest by June 2025.
Regular Admission Round (August AY2025 intake)
Application Period: 1 October 2024 to 15 March 2025
Instruction for Application:
The programme only has 1 intake per academic year in August.
Supporting documents:
Important Notes:
Application Outcome
Graduation Requirements
In order to graduate, students must
Candidature
This Programme is offered as a full time programme and a part time programme.
For full time students, the minimum and maximum periods of candidature are 1 year and 2 years for full time students. For part time students, the minimum and maximum periods of candidature are 2 years and 4 years.
Note: Most of the courses will be offered in the evening so that the Programme can be completed on a part-time basis.
FAQ
1. I am interested in this programme but I do not have a degree in one of the areas, namely, Mathematics, Engineering, Statistics, Computer Science, Physics, Economics, Environmental Sciences, Life Sciences, etc. Am I eligible to apply?
You are welcome to apply for the programme during the application period. All applications will be assessed based on relevant background knowledge and work experience with respect to the course. Applicants without a background in one of the areas mentioned above but with sufficient knowledge to embark on the MSc Data Science for Sustainability programme may also be considered favourably.
2. I do not have an Honours degree (i.e. only 3-year Bachelor’s degree or its equivalent). Am I eligible to apply?
You are welcome to apply for the programme during the application period. Your application and relevant documents will be reviewed by our Admission Committee on a case-by-case basis.
3. Must I sit for TOEFL/IELTS test?
TOEFL or IELTS test ascertains a candidate’s English language proficiency and is necessary if English is not your native tongue and/or the medium of university instruction is not completely in English.
For details on test centres and test dates, please check the websites of TOEFL and IELTS.
4. I have been admitted to the programme but due to unforeseen circumstances, I may not be able to complete matriculation and commence study as planned. Can I defer my admission to the next intake?
If you have been offered a place in the programme and have paid the offer acceptance fee, you may request for deferment by sending us an email. Please note that all deferment requests are subject to approval by the department and faculty, and you will be notified of the outcome in due course.
5. I have been admitted to the programme but due to unforeseen circumstances, I have problems continuing with the programme. Can I withdraw from the programme?
If you wish to withdraw from the MSc Data Science for Sustainability programme, you may do so by sending us an email stating your reasons. Please note that the offer acceptance fees or other fees payable for the programme are non-refundable and non-transferable. Kindly note that all withdrawal requests are subject to approval by the department and faculty, and you will be notified of the outcome in due course.
6. Are there any scholarships available for this programme?
There are currently no scholarships available for the programme. However, Singapore citizens and permanent residents are eligible for NUS rebates.
7. Am I eligible for staff concession if I am a full-time NUS staff member?
As this is a self-funded programme, students enrolled in our MSc Data Science for Sustainability programme will not be eligible for staff concession.
8. Am I eligible for the CPF Education Loan Scheme (CELS)?
Students enrolled in our MSc Data Science for Sustainability programme are not eligible for CPF Education Scheme (CELS) as it is only applicable to full-time undergraduate students. For more information, please visit the CPF website.
9. Am I eligible for the Post-Secondary Education Account (PSEA) scheme?
The PSEA Scheme is administered by the Ministry of Education (MOE) and is open to all eligible Singaporeans. Please refer to the MOE website to check your eligibility for PSEA.
For more information on using your PSEA funds to pay for tuition fees, please visit the NUS Graduate School’s website, available at this link.
10. I can’t find the answers in the FAQs above.
If you have any enquiries regarding our MSc Data Science for Sustainability programme and cannot find the answers on our website, please feel free to
email us with your full name in English. If you have already applied to the programme, kindly include your application number in the email subject line.