Major in Data Science & Analytics

Bachelor of Science (Honours) with Major in Data Science and Analytics.

The new 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 provides opportunities for experiential and self-directed learning through two industry-linked capstone modules (an introductory module and a practice module on data science) and the Honours level project, in which students learn from data science professionals both within and beyond the formal classroom setting. Whereas the DSA capstone modules are generally taught in a formal classroom setting with industry participation, students may work on their Honours level 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.

Experiential learning can be achieved through participation in internships with local or overseas institutions or companies and/or reading industry-linked elective modules related to the application of analytics to such domains as business, healthcare, government, and community, which are currently being developed.

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.


Download the programme flyer here.

Harnessing consulting projects for undergraduate education

The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Interested students in the programme have the opportunities to assist in the Centre’s consulting services to the industry, thereby allowing them to gain practical experience in formulating data-driven solutions for real-world business problems in a wide spectrum of our corporate partners, from small and medium enterprises to multinational corporations.

The Centre’s Director and Deputy Director source for industry projects and work with a team of professors to supervise students involved in the projects. The students prepare the data and perform data analytics on it. This way the students gain exposure to different business problems across different industries, better understand the challenges that the industry has and learn how industry overcomes these challenges using data analytics.

The Centre’s Director and Deputy Director also ensure the security and confidentiality of data and monitor progress towards meeting the goals of the project. The team of professors attached to the project aids in the supervision of students, and in the interactions with clients to understand the problems they want to solve and the type of solutions are feasible for them to implement. The students are involved in the brainstorming of solutions, in the initial data massaging, in the writing of program codes and in the presentation of solutions to clients.

The benefits to students involved in the project are first that they learn how to treat data properly to ensure data security and confidentiality. They get to apply their statistical skills learned in classroom teaching and acquire new ones. They practice their programming knowledge in Python and R and learn how to access and make use of coding platforms. They develop their creative thinking by solving problems not encountered in structured classroom teaching. They boost their presentation skills during their presentations to clients. And finally, they have access to additional faculty mentoring.


Co-Operative Education

The NUS Co-Operative (Co-Op) Education Programme formally integrates academic studies with relevant work experience, where students complete multiple internship stints alternating with regular academic semesters over their candidature at NUS thus forming an integral part of the student's learning experience.

Students in the DSA programme have the option to participate in co-op education which comprises the following study/internship sequence:
 

 

Semester 1

Semester 2

Special Term

Year 1

Study

Study

Study

Year 2

Study

Study

Internship

Year 3

Study & Internship

Internship

Internship

Year 4

Study & Internship

Study

 

 

The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. The last two internship segments take the form of an Honours-level project (DSA4299).

Download the DSA co-operative education factsheet here

 
Admission Requirements

Applicants to the DSA programme must meet the entry requirements stipulated by the Office of Admissions.

For  A Level holder: A very good pass in H2 Mathematics and a good pass in H2 Biology or H2 Chemistry or H2 Physics or H2 Computing
 

Programme Requirements

The requirements of the DSA programme can be downloaded here


Information on DSA-Coded Modules

Information on the modules DSA1101, DSA2101, DSA2102, DSA3101, DSA3102, DSA4211 and DSA4212 can be downloaded here