Administered by the NUS Faculty of Science
The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.
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.
It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Applied Probability, the School of Computing's Department of Computer Science, the Faculty of Engineering, and the Saw Swee Hock School of Public Health.
WHY THIS PROGRAMME?
Learn from the best of academia and industry
The NUS MSc in Data Science and Machine Learning is supported by leading NUS researchers in data science as well as data scientists from industry.
Choose from multiple specialisations
The programme offers multiple data science specialisations, and is jointly offered by the Faculty of Science’s Department of Mathematics, Department of Statistics and Applied Probability, and Department of Computer Science.
A robust, interdisciplinary curriculum
The curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning.
Professor Zhang Louxin
NUS MSc in Data Science and Machine Learning
Today, we face a massive explosion in the amount of data generated and retained by organisations, the government, and even individuals like you and me. In this age of “big data”, the ability to analyse and process data has become a critical skill set – data scientists make sense out of all this data and use it to make good business decisions.
The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI.
The programme offers upgrading opportunities for industrial engineers and students who wish to equip themselves with data science and machine learning knowledge and data analytic skills. It will also help to meet the growing demands for a big data workforce in all industries by transforming graduates in quantitative science into data science and analytics practitioners.
I look forward to seeing you in the programme.
To apply for admissions to the NUS MSc in Data Science and Machine Learning programme, applicants should possess a bachelor (Hons) degree or a 4-year bachelor’s degree in quantitative science (mathematics, applied mathematics, computational mathematics, statistics and physics) or engineering or computer science.
For applicants whose medium of university instruction was not English, they are required to demonstrate their English proficiency by possessing a minimum TOEFL (Test of English as a Foreign Language) score of 580 (paper-based) or 85 (Internet-based), or a minimum IELTS (International English Language Testing System) Academic score of 6.0.
Students are likely to take between 12 and 24 months to complete the programme on a full-time basis and 24 to 48 months on a part-time basis.
Admissions Intake & Application Period
Next Admissions Intake: August 2021
Application Period: 15 October 2020 - 31 January 2021
FULL TUITION FEES
Singaporeans and Singapore PRs may enjoy tuition fee subsidies
• There is an application fee of $50.
• Apart from tuition fees, there is a Student Services Fee (as published by NUS Registrar’s Office) payable every regular semester.
• Admissions to the programme is granted on a competitive basis as places in the programme are limited. A non-refundable and non-transferable acceptance fee of S$5,000 - which will be credited towards your tuition fees - is payable upon acceptance of offer.
• All fees quoted here are exclusive of prevailing GST, unless otherwise stated. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.
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