Data science is a data-driven approach to problem solving and scientific exploration that involves the process of collecting, managing, analyzing, explaining, and visualizing data and analysis results. It is inherently interdisciplinary in nature.
DurationData science is a data-driven approach to problem solving and scientific exploration that involves the process of collecting, managing, analyzing, explaining, and visualizing data and analysis results. It is inherently interdisciplinary in nature.
The aim of the Master of Science in Data Science (MSDS) programme is to provide graduate students with robust training in the field of Data Science.
The program is led and mainly run by the School of Computer Science and Engineering (SCSE). Faculty members from several other schools also actively contributes to this programme to support interdisciplinary flavour of data science.
Admission Requirements
At least a good relevant bachelor's degree
Relevant working experience is an advantage
For applicants whose native language is not English, TOEFL/IELTS score is to be submitted with the application for admission:
TOEFL Score (Test Dates Must Be Within 2 Years Or Less From The Date Of Application):
IELTS Score (Test date must be within 2 years or less from the date of application):≥ 6.5
GRE is not required for MSc programme (by coursework).
About NTU Singapore
Young and research intensive, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in engineering, business, science, humanities, arts, social sciences, education and medicine.
Ranked among the world’s top universities, NTU is home to world-class institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering.
Besides being reputed as one of the world’s most beautiful campuses, the NTU Smart Campus is a living testbed of tomorrow’s technologies and a model of sustainability, with 95% of its campus buildings Green-Mark certified.
NTU also leads the way in Singapore, with eight Zero-Energy Buildings, the most amongst all organisations in this country.
In addition to its main campus in the western part of Singapore, NTU also has a medical campus in Novena, Singapore’s healthcare district.
Vision & Mission
A great global university founded on science and technology, nurturing leaders and creating societal impact through interdisciplinary education and research.
Equality, Diversity and Inclusion at NTU
NTU believes in building an inclusive campus for its students, staff and faculty where diversity is respected. We strive to create diverse and inclusive environments to achieve a vibrant campus for education and a welcoming workplace for people from all backgrounds.
OneNTU Core Values
NTU has a diverse community of students, employees and alumni with multiple backgrounds and expertise.
The OneNTU core values serve as the compass for all of us at the University, guiding our daily actions and decisions:
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa
Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting.
 The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects. The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government
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.
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