Master of Science in Data Science and Machine Learning

The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.

It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Data Science and the School of Computing’s Department of Computer Science.

The Faculty of Engineering and the Saw Swee Hock School of Public Health are also our teaching partners.

The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations.

Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning.

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Candidature Period

• Full-time option: Min: 1 year; Max: 2 years.

• Part-time option: Min: 2 years; Max: 4 years.

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Direct Admission

• Students are expected to pay full tuition fee, payable in instalments over 2 regular semesters for full-time study and 4 regular semesters for part time study.

• SC/SPR students are also eligible to receive course subsidies for SkillsFuture Singapore funded modular courses.

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Stackable Pathway

• Students will read some or all of the elective courses that will stack towards the MSc Data Science and Machine Learning degree on a standalone basis. Students will have the flexibility of studying at their own pace and can request for the Unit/Grade transfer of the related SSG-funded courses(s) taken, towards the MSc programme, subject to approval of the Faculty/Department. 
  
  After completing the elective courses, students need to apply to read the rest of the courses in the MSc Data Science and Machine Learning programme via direct admission in order to meet the programme’s graduation requirement. 

Admission Requirements

• A Bachelor (Hons) degree or its equivalent in  a quantitative science (e.g. mathematics, statistics and physics), engineering or computing science.

• A candidate whose medium of undergraduate instruction is not English must pass TOEFL (minimum score required is 85) or IELTS (minimum score required is 6.0).

Application, Tuition and Student Fees

Application fee 

• 50 Singapore dollars, which is non-refundable and payable when submitting online application materials

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Offer Acceptance fee 

• Non-refundable and non-transferable fee (payable upon offer acceptance)

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Tuition fee for 2024 intake

• S$51,000, before the prevailing Goods and Services Tax (GST) for the entire programme, for all students.

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Miscellaneous student fees

• This is compulsory and payable every semester, for which information can be found on the NUS Registar’s office website