48 monthsProgramme duration
17,950 SGDTuition Fee/year
AugStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Bachelor of Science with Honours in Data Science and Analytics
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 courses 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
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Bachelor of Science with Honours in Data Science and Analytics
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 courses 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
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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