BSc Economics and Data Science
Royal Holloway, University of London
Entry requirements
A level: AAB-BBB (Required subjects: A-level B in Mathematics We require English Language and plus Mathematics GCSE grade 4 (C)) IB: 6,6,5 - 5,5,5 at Higher Level or 34-30 points overall including 5 in Maths at Higher Level
About this course
BSc (Econ) in Economics, integrating data science methods with economic analysis. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, and Policy Analysis. The course uses Python and R for empirical work and includes a final-year research project. Employability modules with career preparation are integrated across all three years.
Modules
- Applied Economics and Policy
- Employability 1
- Mathematics for Economics
- Principles of Economics
- Academic Integrity
- Data Skills for Economists
- Introduction to Data Science
- Employability 2
- Macroeconomics
- Microeconomics
- Economic Modelling and Data Science
- Econometrics 1
- Econometrics 2
- Employability 3
- Advanced Econometrics I
- Advanced Economic Theory
- Advanced Topics in Game Theory
- Corporate Finance
- Economics of Inequality
- Philosophy of Economics
- Behavioural Economics
- Financial Econometrics with Data Science
- Topics in Finance
- Labour Economics
- Public Economics
- Monetary Economics
- Topics in Development Economics
- Topics in Economic History
- Advanced Econometrics II