BSc Economics and Data Science
London School of Economics and Political Science
Entry requirements
A-levels: A*AA, with an A* in Mathematics IB Diploma: 39 points overall, including 766 in higher level subjects, with 7 in "Mathematics: analysis and approaches"
About this course
BSc in Economics and Data Science, a mathematics and statistics and computer science degree focusing on economic principles and data-driven methods. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme equips students with quantitative techniques to address practical economic questions. The first year covers core foundations through Microeconomics I, Macroeconomics I, Mathematical Methods, and Programming for Data Science. The second year progresses with Microeconomics II, Macroeconomics II, Econometrics I, and Probability and Distribution Theory. The final year includes advanced study in Machine Learning and Artificial Intelligence, alongside optional choices from approved lists.
Modules
- Microeconomics I
- Macroeconomics I
- Mathematical Methods
- Elementary Statistical Theory
- Managing Visualising Data
- Programming for Data Science
- The LSE Course
- Microeconomics II
- Macroeconomics II
- Econometrics I
- Probability and Distribution Theory
- Machine Learning
- Artificial Intelligence
- One half unit course from one of the option lists above