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The undergraduate degree in Data Science and Analytics equips students with the skills to solve complex data-related problems in businesses and new scientific applications using novel analytical tools, and the ability to communicate insights using visualisation tools. In this interdisciplinary 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. They will also delve in-depth into analytics methods such as artificial intelligence; computation and optimisation; computer algorithms; database and data processing; data mining and machine learning; and high dimensional statistics; as well as applications of analytics to various domains.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The undergraduate degree in Data Science and Analytics equips students with the skills to solve complex data-related problems in businesses and new scientific applications using novel analytical tools, and the ability to communicate insights using visualisation tools. In this interdisciplinary 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. They will also delve in-depth into analytics methods such as artificial intelligence; computation and optimisation; computer algorithms; database and data processing; data mining and machine learning; and high dimensional statistics; as well as applications of analytics to various domains.
Admission Requirements
62+
92+
6.5+
180+
Admission to the university is based on academic merit and open competition among the applicant cohort. The admission criteria vary from year to year depending on the competitiveness of the applicant cohort. Therefore, there is no fixed minimum marks/grades to secure admission. Potential applicants may refer to the Indicative Grade Profile (IGP) and course places of the previous academic year to make more informed choices when applying for admission.
4 Years
Aug
Tuition Fee and Scholarships
Domestic Students
8,250 SGD
-
International Students
17,965 SGD
-
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
BSc (Hons) in Data Science and Analytics
Kent Ridge Campus, Singapore, Singapore
# 7QS Subject Rankings
48 monthsProgram duration
17,965 SGDTuition Fee/year
YesScholarships
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Admission Requirements
Tuition Fee and Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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