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What will I learn?

The Data Science and Economics (DSE) cross-disciplinary programme (XDP) aims to produce students who have strong foundation knowledge in data science and economics as well as hands-on experience with empirical analysis of economic data, to analyse and interpret the local and global impact of data on individuals, organisation, society and the global economic ecosystem.

The student learning outcomes are:

To comprehend the conceptual and methodological foundations of analytical techniques for data science and the fundamentals of theoretical and empirical economic analysis

To appreciate and understand current data-scientific problems in economics and be able to identify and formulate practically relevant questions and issues in various aspects of economics, for example, in macroeconomic and financial modelling, or health and labour markets

To apply appropriate analytic tools and techniques to resolve complex data-scientific problems in various aspects of economics using appropriately curated data, and be able to clearly communicate findings and insights gained using appropriate visualisation tools

To cultivate in the students the practice of independent and peer learning so as to prepare them to function effectively in diverse careers as data science professionals and economists

The DSE curriculum incorporates inter-disciplinary learning from data science and economics, with foundations in computer science, mathematics and statistics. In addition to higher-level modules that integrate knowledge and concepts from lower-level core foundational modules, students also read modules related to the application of data science and analytics to the financial market, labour market, and other applied economic issues in education, health, housing and industrial organisation.

The programme also provides opportunities for experiential and self-directed learning. In the industry-linked integrated modules (on digital currencies, FinTech and the digital economy) and the capstone project (which students complete in their final year of study), students learn from data science professionals and economists both within and beyond the formal classroom setting. Whereas the DSE integrated modules are generally taught in a formal classroom setting with industry participation, students may work on their capstone projects in certain partner institutions or companies. Interaction with data science professionals allows the students to hone their ability to ask the right questions and formulate problems, be resourceful and enterprising in their approach to data collection and analysis to problem-solve and yield insights, and sharpen their communication skills. Opportunities to work in a data science team inculcate in the students the value of being constructive and responsible members of the community.

Students in this DSE programme can choose to participate in student exchange programmes with overseas partner universities as part of their global education. Such participation immerses students in new learning environments to develop their sense of global citizenship and outlook, as well as their own unique Singapore and Asian identities in the international arena. Further experiential learning can be achieved through participation in internships with local or overseas institutions or companies.

Which department am I in?

Faculty of Science

Study options

Full Time (4 years)

Tuition fees
SG$17,650.00 (9,91,016) per year

*Price shown is for indicative purposes, please check with institution

Start date

1 August 2022, 9 January 2023

Venue

Faculty of Science

Block S16, Level 9,

6 Science Drive 2,

117546, Singapore

Entry requirements

For students from United States

Applicants should have completed a high school. English Language Requirements: EL1119 minimum acceptable score C6; IELTS - 6.5 overall with 6.5 in Reading and Writing components; MUET-200; TOEFL - 580 for paper-based / 92-93 for internet-based.

For international students

If you are an international applicant seeking admission to NUS, you should have completed or are completing high school, that is, at least twelve years of general education by July of the year of application.

English Language requirement: IELTS - 6.5 overall with 6.5 in Reading and Writing components; MUET – 240; TOEFL: 92-93 for internet-based; EL1119 - C6; PTE Academic: 62 overall with 62 in Reading and Writing components; C1 Advanced / Cambridge English: Advanced - 180

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About National University of Singapore (NUS)

Along with the highest education standards, students at NUS benefit from an excellent overall experience with excellent research facilities.

  • Ranked 11th in the world (QS World rankings 2022)
  • Excellent graduation rate of over 97 percent
  • Leading research teams using cutting-edge facilities
  • Outstanding selection of courses across 17 faculties

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