The MSc Data Science (Social Analytics) at the University of Manchester is a one-year, full-time program designed to develop advanced data science skills specifically for social research and policy analysis.
Students build skills in data stewardship, statistical modelling, and project design while working on real-world social datasets, preparing for roles in public policy, social research, and industry.
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Course Overview:
Core:
Statistics and Machine Learning 1: Statistical Foundations
Statistics & Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics
Understanding Databases
Understanding Data and their Environment
Extended Research Project
Optional:
Topological Data Analysis
Privacy, Confidentiality and Disclosure Control
Digitial Planning - Spatial and Policy Analysis
Survey Research Methods
Longitudinal Data Analysis
Extended research project applying data science to social science problems.
Practical learning through lectures, hands-on exercises, teamwork, and student presentations.
Interdisciplinary learning environment with exposure to real-world datasets and social research challenges.
Graduates progress to data-centric roles in social policy, government, public health, non-profits, and research institutions.
Excellent preparation for PhD study in data science, social analytics, or public policy.
Strong industry demand for social data scientists with computational and policy-focused expertise.
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