otherSingapore · Master’sResearched 0d ago
Data Science
National University of Singapore
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Overview
NUS MSc in Data Science and Machine Learning is a competitive coursework master's. It emphasizes academic preparation in a quantitative field and, when applicable, English proficiency; personal statement is optional and no portfolio is required.
Admission criteria
PortfolioLow
No portfolio is required or reviewed in the programme's stated application materials.
Bar to clear: Not used by this program
Statement of PurposeLow
A personal statement is optional rather than required, so it is not a primary selection factor.
Bar to clear: Optional personal statement; no minimum stated
Academics & GPAHigh
The programme requires a Bachelor's (Honours) or 4-year degree in a quantitative science, engineering, or computing science, and selection is competitive.
Bar to clear: Bachelor's (Honours) or 4-year degree in quantitative science, engineering, or computing
Test scoresMedium
English proficiency is required for applicants whose native language and university instruction are not fully English; TOEFL or IELTS scores must meet the stated minimum.
Bar to clear: TOEFL 85 or IELTS 6.0 minimum
Application components
Statement of purposeTranscript / GPAEnglish test score report
How to stand out
→Show a strong quantitative transcript with solid grades in math, statistics, programming, or engineering.
→If English evidence is needed, submit a valid TOEFL or IELTS score above the minimum.
→Use the optional statement to explain why your background fits data science and what you want to do with the degree.
Source confidence
95%Well sourced
Sources
Department of Mathematics - MSc DSML (Prospective Students)
www.math.nus.edu.sg/cdsml/ms-dsml/dsml-prospective-students/
Primary programme page with admission requirements and application document list.
Graduate Admissions : NUS Graduate School (NUSGS)
nusgs.nus.edu.sg/admissions/
General NUS graduate admissions context; programme-specific page controls where requirements differ.
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