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BSc Economics with Data Science

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Economics with Data Science
Duration
3 years
UCAS code
L115
Typical offer
A-level AAA, IB 36

Entry requirements

A level: AAA including Mathematics IB: Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Analysis and Approaches or Applications and Interpretation)

About this course

Bachelor of Science in Economics with Data Science, an economics degree centred on mathematical and computational approaches to economic theory and empirical analysis. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Policy Analysis, and Artificial Intelligence & Machine Learning. Students complete a final-year dissertation project alongside employability modules running across all three years. The first year covers core foundations through Principles of Macroeconomics, Statistics for Economics, and Linear Algebra I. The second year progresses to Applied Econometrics, Computational Economics, and Econometrics with Big Data, alongside options such as Fundamentals of Data Science in R and Dynamic Macroeconomics. The final year involves Advanced Econometrics with Machine Learning and Empirical Finance, with optional modules including Behavioural Economics, Labour Economics, and Public Economics.

Modules

  • Economics Skills and Employability 1
  • Economics with Data
  • Economics with Experiments
  • Linear Algebra I
  • Mathematics for Economics
  • Principles of Macroeconomics
  • Statistics for Economics
  • Computational Mathematics
  • Foundations of Microeconomics
  • Principles of Microeconomics
  • Quantitative Modelling in Economics
  • Applied Econometrics
  • Computational Economics
  • ECON Dissertation: Prelim Info
  • Econometrics with Big Data
  • Economics Skills and Employability 2
  • Intermediate Macroeconomics
  • Intermediate Microeconomics
  • Development Economics
  • Dynamic Macroeconomics
  • Econometric Theory
  • Fundamentals of Data Science in R
  • Games
  • Industrial Economics
  • Introduction to Econometrics
  • Advanced Econometrics with Machine Learning
  • Dissertation: Literature Review
  • Economics Skills and Employability 3
  • Empirical Finance
  • Advanced Social Data Science
  • Applied Social Quantitative Analysis
  • Behavioural Economics
  • Choice and Decision
  • Dissertation: Research Project
  • Dissertation: Research Topics
  • International Macroeconomics
  • International Trade
  • Labour Economics
  • Principles of Finance
  • Public Economics
  • Topics in Macroeconomics