📖Program Curriculum
Teaching Block
Unit (All M-level 7; points indicated in parenthesis)
Role in programme
TB1
Economic Analytics (20)
Econometrics with Python (20)
Large Scale Data Engineering (20)
Core: essential knowledge of Economics Econometrics as well as foundation of Python and cloud computing. Account access to Amazon Web Services (AWS) to learn how to handle big data.
TB2
Machine Learning for Economics (20)
Core: Learn state-of-the-art machine learning and artificial intelligence techniques extending the foundation Econometrics training from TB1. You will be able to differentiate among techniques and select the most suitable.
Set 1: One Unit (20) Choose ONE from: Econometrics Beyond the Mean (20) Applied Financial Econometrics (20) Program evaluation (20)
Electives: Econometrics Beyond the Mean extends the core Econometrics unit by introducing advanced Econometric methods. Applied Financial Econometrics suitable for those interested in time series analysis. Program Evaluation providing rigorous training on different methods to estimate and analyse treatment effects.
Set 2: One Unit (20) Choose ONE from: Empirical Industrial Organisation (20) Labour Economics (20) Health Economics (20) Development Economics (20)
Electives: These four units are economics field options offering specialised training on industrial organisation labour health and development economics.
Summer
Group Dissertation Projects (60)
Core: A unique opportunity to work on industry projects. Supervised by academics work closely with industry representatives as part of a team in a professional environment.
Visit our programme catalogue for full details of the structure and unit content for our MSc Economics with Data Science.
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