← All courses at University of Edinburgh

MA Economics and Statistics

University of Edinburgh

Institution
University of Edinburgh
Level
undergraduate
Subject
Economics
Duration
4 years
UCAS code
LG13
Typical offer
A-level A*AA, IB 40

Entry requirements

A level: from A*A*A* to A*AA (required: Mathematics at A*) IB: from 40 points with 766 at HL to 37 points with 666 at HL

About this course

MA (Hons) in Economics and Statistics, a degree centred on economics, mathematics and statistics. Core topics include Data Analysis, Statistics, and Mathematical Modelling. The programme spans four years with compulsory economics and mathematics study integrated throughout. The first year covers foundational concepts through Economics 1A, Economics 1B, Introduction to Mathematics at University, and Introduction to Data Science. The second year progresses with Economics 2A, Economics 2B, Linear Algebra 2, and Elementary Probability and Statistics. Later stages introduce advanced study across economic theory and mathematical topics, including Topics in Microeconomics, Essentials of Econometrics, Topics in Macroeconomics, and Probability and Measure Theory.

Modules

  • Economics 1A (20 credits)
  • Economics 1B (20 credits)
  • Introduction to Mathematics at University
  • Introduction to Mathematical Analysis
  • Linear Algebra 1
  • Introduction to Data Science, where you will learn to collect and explore data, before using models and predictions to make rigorous conclusions.
  • Fundamentals of Algebra and Calculus is an online, introductory course that provides extra preparation in key topics from advanced high school level mathematics and further supports your transition to university.
  • Economics 2A (20 credits)
  • Economics 2B (20 credits)
  • Linear Algebra 2
  • Elementary Probability and Statistics
  • Further Analysis and Several Variable Calculus
  • Topics in Microeconomics
  • Essentials of Econometrics
  • Applications of Econometrics
  • Topics in Macroeconomics
  • Statistics
  • Topology
  • Algebra
  • Analysis
  • Operational Research
  • Differential Equations
  • Numerical Analysis
  • Probability and Measure Theory