This one-year full-time programme provides comprehensive training in quantitative social science and data analytics. Students learn to apply statistical, computational, and machine learning techniques to real-world social problems such as poverty, inequality, and political behaviour.
The course covers applied statistical analysis, programming, machine learning, quantitative text analysis, and experimental and spatial data methods. Small class sizes, a focus on problem-based learning, and close interaction with academic staff foster an engaging and supportive learning environment.
Students also complete an independent dissertation under the supervision of academic experts, developing their own research project and gaining hands-on experience in applied data science.