National University of Singapore MSc Data Science and Machine Learning: Fees, Living Costs, Test Scores, Visa Process, Work during Study, Entry Requirements.

Master of Science [M.Sc.] [Data Science and Machine Learning] From National University of Singapore

Singapore, SingaporeLocation
UniversitySchool type
Estd1905established year
30727enrollment
Public
7.3/10

Master of Science [M.Sc.] (Data Science and Machine Learning)

2 years
Full Time
Online & On Campus

$42,248 /Yr

S$55,590 /Yr
3 Students Applied
2 Students Admitted
  • The National University of Singapore (NUS) MSc Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree program aimed at cultivating the next generation of leaders in data science
  • The curriculum of the DSML program is designed to provide you with a comprehensive understanding of data science, drawing from various disciplines such as computer science, mathematics, statistics, data analytics, and machine learning
  • The NUS offers core courses in the DSML program include:
    • Introduction to Big Data for Industry
    • Optimization Algorithms for Data Modelling
    • Principles of Data Management and Retrieval
    • Principles of Machine Learning
    • DSML Industry Consulting and Applications Project
  • This program offers multiple specializations in data science to cater to diverse interests and career goals of students
  • You will gain practical experience by working on industry-related projects under the guidance of faculty members and industry experts
  • This DSML program offers a stackable pathway, allowing you to take elective courses independently or as part of the MSc program

Important Dates

EventApplication Date
Early Admission Application for August 2025 Intake Jul 15, 2024
Regular Admission Application for August 2025 Intake Oct 1, 2024 - Jan 31, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$42248 (SGD 55590)

Eligibility & Entry Requirement

Acceptance Rate 5%
Academic Requirement Applicants should have a bachelor (Hons) degree or its equivalent in a quantitative science e.g. mathematics, statistics and physics, engineering or computing science
English Language Proficiency Score TOEFL iBT : 85 | IELTS : 6
Documents Required
  • Online Application Form
  • Singapore identity card (For Singapore Citizens or Singapore Permanent Residents)
  • Financial statements e.g. bank statement/recent payslip/sponsor’s letter 
  • Official Copies of Transcripts
  • English Language Proficiency Score 
  • A Curriculum Vitae
  • A Copy of Your Passport
Application Fee SGD 50 (INR 3090)
Decision Time Within in 3 week
Interview Online

Scores Required

85 / 120

Avg. Score in

TOEFL

6 / 9

Avg. Score in

IELTS


Ranking

2024

QS World University logo
Data Science and Analytics 6 out of 72 in Global Ranking
( #1 out of 2 in Singapore 2024)

Similar Programs

ProgramImportant DateTotal FeesMedian Exams ScoreAction
Application Deadline For January Intake (31st Aug 2024)
Application Deadline For August Intake (28th Feb 2025)
USD 43,532 /Yr
SGD 57,279 /Yr
  • TOEFL: 85
  • IELTS: 6
  • PTE: 62

Career and Placement after Course

Finishing the MSc data science and machine learning program at the national university of singapore may find opportunities such as:

  • Data Scientist
  • Machine Learning Engineer
  • Application Architect
  • Infrastructure Architect
  • Data Engineer, etc.

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Business Administration ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
Nanyang Technological University ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
BrokerFish International Student ScholarshipScholarship per student$ 760/Yr$1,000Level Of StudyBachelorTypeMerit-Based
VueVille Future Technology ScholarshipScholarship per student$ 760/Yr$1,000Level Of StudyBachelorTypeMerit-Based
(ISC)² Women’s Cybersecurity ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
Axol Science ScholarshipScholarship per student$ 1,520/Yr$2,000Level Of StudyBachelorTypeCompany-Sponsored


Programs Comparison

ranking# 6 for Data Science and Analytics by QS World University 2024
# 26 for Data Science and Analytics by QS World University 2024
application--
why to opt?

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.


You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline. 

Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.

Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.


exam scoresIELTS - 6/9TOEFL - 85/120IELTS - 7/9PTE - 65/90TOEFL - 102/120
cost to studyTotal Cost (Tuition + Living) -USD 38760Total Cost (Tuition + Living) -USD 37112.32
application datesJul 15, 2024 (Early Admission Application for August 2025 Intake)
Jan 31, 2025 (Regular Admission Application for August 2025 Intake)
Oct 31, 2024 (Application Deadline For Feb 2025 Intake)
Admission Criteria/Better to Have
  • Good Bachelor’s degree (Honours) from a reputable university.

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-Read Full Comparison

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