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.
Intakes
- 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
- The International Students studying in certain institutions in Singapore are allowed to work part time for 16 hours per week as mentioned on the Ministry of Manpower website of Singapore.
- Students who have studied in the institutions mentioned on the Ministry of Manpower website of Singapore are allowed to apply for a Long Term Visitor Pass.
- They are allowed to look for a job during this time period.This is for 12 months.If the students get a job during this time period, the employer may sponsor for an Employment pass.
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.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
48000 SGD
Annual Cost of Living: 10400 SGD
Application Fee: 100 SGD
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