Master of Science in 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.

Overview

The Department of Mathematics has been ranked 1st of Asian universities and among the top worldwide according to the QS World University Rankings by Subject.

The Department offers diverse and vibrant graduate programmes in mathematical sciences. Faculty members' research covers all major areas of contemporary mathematics.

The NUS Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme, which is designed to nurture the next generation of leaders in data science.

Its curriculum integrates mathematics, statistics and computer science, as well as data analytics and machine learning.

Admission Requirements

• A Bachelor's (Honours) degree or a 4-year Bachelor's 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 is required to submit TOEFL (with the minimum score 85 for the internet-based test) or IELTS (with the minimum score 6.0 overall) score