Bachelor of Data Science & Analytics
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Preparing Future Leaders in Data Science and Analytics
The nature of data has changed dramatically. Between the dawn of civilisation and 2003, the human race created five exabytes (5 x 1018 bytes) of information. Now we are producingthat amount every two days. Such a huge amount of data, collectively called Big Data, creates an urgent need to make sense of it.
Data science is an emerging field that involves using novel mathematical and statistical tools to collect and analyse massive data sets to derive insights that facilitate decision-making in businesses and in Government. This has brought about a revolutionary transformation across our society and industries.
First Data Science and Analytics Degree Programme in Singapore
NUS’ Faculty of Science is the first in Singapore to offer a four-year direct honours programme leading to a Bachelor of Science in Data Science and Analytics. The programme will be offered in Academic Year 2016/2017.
• Multidisciplinary curriculum. A key facet is the
interdisciplinary nature of the programme, which integrates
knowledge, concepts and applications from the foundations
of mathematics, statistics and computer science as well as
various other disciplines.
• Experiential learning. You will have opportunities to
participate in research projects, final year projects and
industrial attachments, where you can apply your domain
knowledge in a workplace setting, to address and solve real
industry problems and challenges.
• Global exposure. You can choose to participate in a range
of study abroad and student exchange programmes at over
300 partner universities. This opens the door to a global
learning experience, grooming you to be resilient and
The programme will equip you with analytical tools and techniques to resolve complex data-scientific problems in various sectors and domains, and skills to communicate insights gained using visualisation tools. You will also benefit from NUS’ research expertise in science-based data research, data-driven scientific research, big data computing and data-driven decision sciences.
Big Data Methods and Analysis
The Business of Business Analytics
Application of Big Data Analytics
Data scientist, hybrid of data hacker, analyst, communicator and trusted adviser in Data-driven companies, research institutes, government agencies …