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.
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.
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