BSc Economics and Data Science (with a professional placement year)
Entry requirements
A level: ABB-BBB, including Mathematics IB: 32 points
About this course
BSc (Hons) in Economics, combining economic theory with computational methods over four years full time. Core topics include Programming, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. Students complete an applied economics dissertation in the final year.
Modules
- Contemporary Economic Issues
- Introduction to Economics
- Introduction to Mathematics for Finance and Economics
- Programming Concepts
- Applied Mathematics for Economists
- Business School Career Preparation
- Data Structures & Algorithms
- Macroeconomics 1
- Microeconomics 1
- Introduction to Data Science
- Introduction to Econometrics (level 5)
- Mathematical Statistics
- Applied Machine Learning
- Applied Statistics for Finance and Economics
- Data Coding & Visualisation
- Macroeconomics 2
- Advanced Macroeconomics
- Advanced Microeconomics
- Applied Economics Dissertation
- Applied Econometrics
- Machine Learning, Text Analysis and Econometrics
- Economics and Data Science
- Experimental Economics: Markets, Games And Strategic Behaviour
- International Trade
- Topics in Growth and Inequality
- Behavioural Economics
- Economics of Crime
- Financial Economics