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QS Rank:

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11

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National University Of Singapore

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Singapore

Singapore

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Program Rank

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8

The Master of Data Science and Machine Learning is a top-tier program that provides in-depth training in data science and data analytics. An MS in Data Science and Machine Learning from the National University of Singapore has consistently ranked among the world's best universities. International students choose this program at NUS because of its high graduate employability rate. NUS provides exceptional educational quality, cutting-edge practical training, and numerous job opportunities to its international students. After completing their MS in Data Science and Machine Learning from NUS, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching staff at NUS provide students with a life-changing learning experience. A Master of Science degree can help students become creative and independent researchers. Overall, an MS in Data Science and Machine Learning from NUS is a great choice for students who want to study the field in depth. Here are some reasons to study Data Science and Machine Learning at NUS: * A popular choice for international students with a diverse community * Learn from the best faculty members and become their research assistants * State-of-the-art labs to facilitate research work * Excellent placement programs after course completion
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Total Tuition Fees

$51,000

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Duration

12 Months

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Median Salary

$1,70,000

Ranking

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#32

US World and News Report

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#25

The World University Rankings

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#11

QS World University Rankings

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Intake

Spring ( Apr - June )

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Intake

Fall ( Sept - Nov )

Class Profile

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Average Age

22

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Average Work Experience

2 Years

Language Test Scores

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Minimum Score

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6 / 9

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Minimum Score

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62 / 90

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Minimum Score

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85 / 120

Diversity

China:

10%

India:

5%

Others:

3%

Singapore:

75%

Malaysia:

4%

Indonesia:

3%

Admissions

Application Deadlines

Summer

RoundDeadlineDecision
Standard DeadlineJan 31NA

Eligibility Criteria

  • 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 provide one of the following:
  • Test of English as Foreign Language (TOEFL) – minimum score is 85.
  • International English Language Testing System (IELTS) – minimum overall score is 6.0.
  • Referee Reports, Personal Statement and GRE Reports are not required for application to the programme. Internship certificates are optional.



Apply online via the NUS Graduate Admission System for the August 2024 Intake during the following periods:

  • Early Admission Exercise (16 May 2023 to 15 July 2023) [CLOSED]
  • Regular Admission Exercise (1 October 2023 to 31 January 2024) [CLOSED]


Please take a look at the applicant user guide before you access the application portal. All applicants will know the outcome of their application by end June 2024. You will only be required to submit your application online. There is no need to send any application documents to us by post by the application deadline.


Application Requirements

What Really Matters When Applying

  • Transcript

    Required

  • TOEFL

    Required

  • IELTS

    Required

  • Passport

    Required

  • Resume

    Optional

  • Application Fee

    50

Career Outcomes

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Median Earnings After Graduation

$1,70,000 / year

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Graduation Rate

70%

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Job Placement

93%

Prospective Job Roles

Data Scientist

Data analyst

Big Data Analyst

Senior Finance Manager

Senior Program Manager

Big Data Specialist

Machine learning engineer

Marketing Analyst

Business Analyst

Systems Administrator

Database Administrator

Top recruiters

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Fees and Funding

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Tuition Fees

$51,000 / year

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Overall Cost

$69,504 / year

Funding Options

Department Funding

Scholarships


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    NUS Overseas Scholarship

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    NUS Merit Scholarship

FAQs

  • The candidature of the DSML is from 1 year to 2 years for full-time students. For part-time students, the minimum candidature is 1 year while the maximum candidature is 2 years. There are a handful of full-time students who complete the programme in 1 year, which means that they have to take 5 courses in each semester

  • The programme may roll over unsuccessful applications from early admission for further review at regular admission

  • 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.

  • The MDSML programme does not provide scholarships to both local and international students.

  • The amount of money in the bank account should be sufficient to cover the tuition fees, miscellaneous fees and living expenses for your entire candidature in Singapore. Please refer to the programme website at https://www.math.nus.edu.sg/cdsml/ms-dsml/dsml-prospective-students/ to find out more about the application, tuition and miscellaneous fees charges. As there are many variables such as the rental fees and food expenses in the living expenses category, we are unable to advise you on the specific amount that you should have (in your bank account).

  • 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.

  • Regarding National University of Singapore world ranking, as per the THE (Times Higher Education) University Ranking 2023, the university was placed at the 19 position. In 2022, it was placed at the 21 position. Overall the university stands among the top universities globally.

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