Using Big Data for Economic and Social Problems I

Undergraduate | 2026

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Area/Catalogue
ECON 1021
Course ID icon
Course ID
205975
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course will show how "big data" can be used to understand and solve some of the most important social and economic problems of our time. The course will give students an introduction to important relevant economic concepts and frontier research in applied economics and social science related to policy making. Topics may include equality of opportunity, discrimination, education, health care, and climate change besides others. The course will also provide an introduction to data visualisation, data management, and basic statistical methods and data analysis techniques relevant for big data approaches, which may include regression analysis, causal inference, and quasi-experimental methods.

Course learning outcomes

  • Recognize suitable economic models and concepts to address major contemporary economic and social issues.
  • Explain the relevance of causality in addressing policy questions.
  • Identify suitable and appropriate empirical and statistical analysis approaches.
  • Interpret and explain the application and outcomes of big data statistical techniques.
  • Analyze, visualize, and communicate economic and social data individually and in group settings.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A