Social Data Analytics (SDA) combines the analysis of large or complex data that arise from human and social interactions with social sciences theories and concepts. In the private, public and academic sectors, there is a strong demand for social scientists who are also trained in data science and computationally intensive methods.
MSocSc(SDA) pools computational and quantitative research expertise across the Faculty of Social Sciences to offer students the data analytical skills and prepare them for further doctoral training and to work as data sciences professionals in NGO and governmental agency, business, advertising, marketing, and other jobs across the knowledge economy that require integrating social sciences domain expertise with large datasets in computational systems.
in HK
in Asia
in the World
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Our research has an impact globally join us in tackling the big issues.
Applicants shall preferably have a Bachelor's degree in one of the fields of social sciences: Anthropology, Cognitive Science, Communication, Economics, Education Studies, Ethnic Studies, Linguistics, Political Science, Psychology, Sociology, Urban Studies and Planning, or a closely related field; and preferably have pre-existing training in statistics and/or formal logic or prior experience with one or more technical domains, including programming, statistics, formal logic, calculus, linear algebra, etc
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Bachelor’s degree in Social Sciences disciplines or a closely related field; or Bachelor’s degree in Mathematics, Computer Science, or a related field with an additional major/minor or substantial advanced coursework in one or more social sciences domains.
