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The program is designed for science students who want to learn data analysis skills and practice them in various science disciplines. The program introduces our students to various mathematical tools and show them how to make sense of data. Students have a chance to see how data analytics has impacted and revolutionized different fields in science. Students not only learn foundation science knowledge, but also have opportunities to be equipped with competence and skills to analyze, present, and draw sound conclusions from data in context, and ultimately bring these techniques into practice in a data-intensive field in science. The program offers four tracks: Applied Biosciences Track; Environmental Science Track; Information Science Track; Molecular Science and Cheminformatics Track. Courses in the tracks are not meant to train students to be experts in the corresponding fields but rather to bring them into the context of a domain of data-intensive research in science.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The program is designed for science students who want to learn data analysis skills and practice them in various science disciplines. The program introduces our students to various mathematical tools and show them how to make sense of data. Students have a chance to see how data analytics has impacted and revolutionized different fields in science. Students not only learn foundation science knowledge, but also have opportunities to be equipped with competence and skills to analyze, present, and draw sound conclusions from data in context, and ultimately bring these techniques into practice in a data-intensive field in science. The program offers four tracks: Applied Biosciences Track; Environmental Science Track; Information Science Track; Molecular Science and Cheminformatics Track. Courses in the tracks are not meant to train students to be experts in the corresponding fields but rather to bring them into the context of a domain of data-intensive research in science.
Admission Requirements
80+
6+
37+
90+
1290+
27+
Post-Secondary Qualifications: Completion of at least one year full-time study in an Associate Degree, Higher Diploma or undergraduate studies in a post-secondary institution; High School Qualifications: Completion of high school graduation requirements; and Completion of any school-leaving public examinations. Normally, a GPA above B+/80% is expected in your post-secondary studies. In addition, attainments in high school exams taken in the past will be useful information for preliminary assessments. Subject requirements include: One senior level subject from Physics, Mathematics. Interview is not compulsory.
BSc in Data Analytics in Science
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR
# 17QS Subject Rankings
48 monthsProgramme duration
21,800 USDTuition Fee/year
30 Jun, 2024Application Deadline
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Admission Requirements
Domestic
International
Scholarships
The Belt and Road Admission Scholarship
Value
50% tuition fee waiver
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Admissions Scholarship
Value
$10000
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Academic Achievement Scholarship
Value
$1200
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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