Study

There is a wealth of social data science study taking place across UCL. The Social Data Institute will lead on joined up social data science teaching at UCL, maximising teaching efficiencies and developing a strong pipeline of skilled social data scientists.

Social Data Science (Q-Step)

The Social Data Science (Q-Step) programmes at UCL are interdisciplinary, providing social science undergraduates with state of the art training in social data science, through courses in quantitative research methods, data analysis and visualization. Students join the Social Data Science (Q-Step) programmes in Geography, Political Science, Population Health Sciences and Social Sciences.

CPD Courses

Our Continuing Professional Development (CPD) courses are taught by UCL’s leading experts in data science and are open to anyone wishing to expand their knowledge of how to use data.

Data Storytelling: Explaining the Social World

This module is open to programmes within the SHS faculty with the following exceptions: The module is not available to students in departments of Economics and Political Science, or to students studying the BA Geography with Social Data Science because all of those programs already include instruction in basic data science, making this module redundant. The module is also not available to students who have taken POLS0008 and subsequently left the BA Geography with Social Data Science pathway, as it repeats a lot of content from that module. It is also not available to students who have taken, or are enrolled on, GEOG0162 and GEOG0030.

Machine Learning for Social Sciences with Python

A module open to students from the SHS faculty who have completed one of the following modules before taking this course: POLS0008, POLS0083, ECON0004, ECON0005, ECON0019, ECON0020, GEOG0016, GEOG0030, GEOG0027. The module is also open to Social Research Institute students who are on the social data science pathway.