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The BSc in Quantitative Social Analysis prepares students to fulfill the rapidly growing need in the business, government, and non-profit sectors for the analysis of social data and interpretation and presentation of results. In all of these sectors, the increasing demand for employees with relevant skills is driven by a rapid growth in the volume and complexity of social data being collected online and offline. This program provides integrated training in social science theory and evidence, statistical methods, the analysis of social data, and the interpretation and presentation of results. This is delivered through required courses that offer foundational training in quantitative methods and social science paradigms, electives that offer advanced methodological training and opportunities for deeper engagement with social science topics, and a capstone project in which students apply their newly learned skills to analyze the topic of their choice. For the social science topics, students choose from a menu of courses in sociology, political science, economics, and other disciplines offered by the Division of Social Science. For the methodological training, students choose from a menu of courses offered by the Division of Social Science, the Department of Mathematics, and other units. Through this training, students learn how to apply advanced quantitative methods to complex datasets in a way that accounts for the unique challenges associated with the analysis of social data and reflects an understanding of existing social theory and evidence. They learn how to identify a research question, collect and manage complex social data, carry out analysis, and develop, test, and refine hypotheses informed by social science theory.
Programme overview
Main Subject
Sociology
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The BSc in Quantitative Social Analysis prepares students to fulfill the rapidly growing need in the business, government, and non-profit sectors for the analysis of social data and interpretation and presentation of results. In all of these sectors, the increasing demand for employees with relevant skills is driven by a rapid growth in the volume and complexity of social data being collected online and offline. This program provides integrated training in social science theory and evidence, statistical methods, the analysis of social data, and the interpretation and presentation of results. This is delivered through required courses that offer foundational training in quantitative methods and social science paradigms, electives that offer advanced methodological training and opportunities for deeper engagement with social science topics, and a capstone project in which students apply their newly learned skills to analyze the topic of their choice. For the social science topics, students choose from a menu of courses in sociology, political science, economics, and other disciplines offered by the Division of Social Science. For the methodological training, students choose from a menu of courses offered by the Division of Social Science, the Department of Mathematics, and other units. Through this training, students learn how to apply advanced quantitative methods to complex datasets in a way that accounts for the unique challenges associated with the analysis of social data and reflects an understanding of existing social theory and evidence. They learn how to identify a research question, collect and manage complex social data, carry out analysis, and develop, test, and refine hypotheses informed by social science theory.
Admission Requirements
90+
27+
1290+
37+
80+
6+
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. Interview is not compulsory.
BSc in Quantitative Social Analysis
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR
# 85QS Subject Rankings
48 monthsProgramme duration
21,800 USDTuition Fee/year
30 Jun, 2024Application Deadline
Programme overview
Main Subject
Sociology
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Programme overview
Main Subject
Sociology
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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