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What will I learn?

The four-year direct Honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. Students will read modules in Mathematics, Statistics and Computer Science, and be exposed to the interplay between these three key areas in the practice of data science.

The student learning outcomes of the DSA programme are:

To comprehend the conceptual and methodological foundations of analytical methods and techniques for data science, drawn from the broad disciplines of computing, mathematics, and statistics

To appreciate and understand current data-scientific problems in engineering and sciences, government and public service, and industry at large, and be able to identify, formulate and resolve practically relevant scientific questions and issues in these sectors and domains using appropriately curated data

To apply, or develop and implement, appropriate analytic tools and techniques to resolve complex data-scientific problems in various sectors and domains, and be able to communicate findings and insights gained clearly 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

The DSA programme is designed with sufficient technical depth to equip graduates with the ability to develop novel analytical tools for new scientific applications and industry problems that will emerge in future.

Interdisciplinary curriculum. A key facet is the interdisciplinary nature of the programme. Students will read modules in mathematics, statistics and computer science, and be exposed to the interplay among these three key areas in the practice of data science.

Deep domain knowledge. Programmes offered under the CHS have a flexible curriculum structure. By pursuing appropriate second major, major-minor and specialisation pathways, students will gain in-depth exposure to artificial intelligence, computation and optimisation, computer algorithms, database and data processing, data mining and machine learning and high-dimensional statistics.

Experiential learning. Students will undertake a capstone module that is industry-driven, where they will have the opportunity to work on practical problems that are related to real-life data and workplace challenges.

Professors teaching the DSA programme work with industry partners to develop, incorporate and infuse applications into the industry-linked capstone and elective modules and the Honours level project in the programme. This will ensure that graduates from the DSA programme receive a well-rounded education and have a competitive edge in the data science sector by being sufficiently prepared for the workplace with in-depth practical experience in a number of interesting and novel real-world business problem-solving case studies across various diverse domains, including healthcare and pharmaceutical, transportation, banking and finance, and public service.

Which department am I in?

Faculty of Science

Study options

Full Time (4 years)

Tuition fees
SG$17,650.00 (9,96,612) 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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