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National University of Singapore

Singapore , Singapore ,Singapore

MSc (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.


  • Aug

Application Processing Time in Days: 30

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

Knowledge and expertise acquired in the programme will help students become competent data scientists, who are demanded in many fields. Students will also have an edge if they want to pursue further studies. This programme is ideal for anyone who wish to work as data scientist, machine learning engineer, application architect, infrastructure architect, data engineer, etc

PSW Opportunity

International students are allowed to work not more than 16 hours per week.

Admission Requirement / Eligibility Criteria

  •  A Bachelor’s (Honours) degree or a 4-year Bachelor’s degree;
  • A candidate whose medium of undergraduate instruction is not English is required to submit TOEFL (with the minimum score 85 for the internet-based test) or
  • IELTS (with the minimum score 6.0) scores.