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BSc Economics and Mathematics

Durham University

Institution
Durham University
Level
undergraduate
Subject
Natural Sciences
Duration
3 years
UCAS code
L125
Typical offer
A-level A*AA, IB 37

Entry requirements

A level: A*AA including either A*A in any order in Maths and Further Maths at A level or or A* in Mathematics and A at AS Further Mathematics for students unable to take A Level Further Mathematics. IB: 37 points overall including 7 in Higher Level Mathematics (maths analysis & approaches) and 66 in two other Higher Level subjects.

About this course

The BSc (Hons) Economics and Mathematics combines economic analysis with advanced mathematics and statistics within the Natural Sciences subject area. Core topics include data analysis, statistics, mathematical modelling, research methods, and artificial intelligence and machine learning. Students completing the shared first year may transfer to BA Economics, BSc Mathematics or BSc Natural Sciences. The final year centres on a capstone in one subject: an economics dissertation or a Mathematics Group Project with an Individual Project. The first year lays foundations in both disciplines: Principles of Economics covers core micro- and macroeconomic ideas, Calculus I develops differentiation and integration, Linear Algebra I introduces vector methods, and Statistics I covers frequentist and Bayesian approaches. Year two centres on Econometrics, in which students write a report based on their own econometric analysis, and a choice follows between two compulsory routes: Economic Theory, or the combined Macroeconomics and Microeconomics track, which leaves no room for other Economics optionals that year. Year two optionals such as Algebra II, Statistical Inference II, Data Science and Statistical Modelling II and Mathematical Modelling extend the quantitative side. The final year is built around a compulsory capstone: either an economics dissertation or a Mathematics Group Project with an Individual Project. Final-year optionals span economics and applied mathematics, including Advanced Microeconomic Theory, Applied Econometrics and Machine Learning and Neural Networks.

Modules

  • Principles of Economics
  • Global Economic History
  • Calculus I
  • Linear Algebra I
  • Probability I
  • Statistics I
  • Example optional modules
  • Econometrics
  • Choose one of the following two sets of modules:
  • EITHER: Economic Theory
  • OR: Macroeconomics (20 credits) and Microeconomics
  • Example optional modules
  • Dissertation OR Mathematics Group Project and Individual Project
  • Example optional modules