BSc Economics and Data Science
Entry requirements
A level: ABB-BBB, including Mathematics IB: 32 points
About this course
BSc (Hons) in Economics, focusing on quantitative analysis and computational methods. Core topics include Programming, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. Teaching is delivered jointly by the University of Sussex Business School and the School of Engineering and Informatics.
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
- Microeconomics 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