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B.Sc. (Hons) with Major in Data Science & Analytics (DSA)

Data science is an inter-disciplinary field about processes and systems to extract knowledge or insights from data in various forms and makes use of techniques and theories drawn from the broad areas of computer science, mathematics and statistics. The McKinsey Global Institute reported in 2011 that the volume of data worldwide is growing at a rate of 40% per year. Many companies and governments are placing substantial focus on their ability to analyse and manage such large volumes of data. However, there is a substantial shortfall worldwide in individuals with expertise in data science and analytics (DSA), who are increasingly termed “data scientists”. The MGI 2011 projects this shortfall to be of the order of over 100,000 within the next two years in the United States.

Locally, the Infocomm Development Authority (IDA) is seeking to develop Singapore into an international Data and Analytics Hub. According to the Economic Development Board, data analytics across all sectors are expected to contribute S$1 billion to the local economy by 2017. Based on the Infocomm Manpower Survey 2014 conducted by the IDA, the total demand for data analytics professionals was about 2,100. An additional 650 specialists will be needed by 2017, driven in part by the Smart Nation initiative. In order to support the government’s initiatives and to further ensure Singapore’s global competitiveness, the development of educational programmes in DSA is of paramount importance.

To complement the national focus of developing manpower in this area, the Departments of Mathematics and Statistics and Applied Probability, in conjunction with the Department of Computer Science in the School of Computing are offering this four-year direct Honours programme. Students will read modules in mathematics, statistics and computer science and will be exposed to the interplay of these three areas in the practice of data science. Students will also undertake an industry-driven capstone project module to work on real-life data. Graduates will acquire skills for careers in diverse industries, where they will derive insights from massive datasets to improve decision-making.

Admission Requirements