BA Joint Hons Economics, Mathematics & Statistics
Entry requirements
A level: ABB-BBB (GCSE English Language 6/B or Literature 6/B, or an essay-based A Level B may be considered in lieu of English; GCSE Maths 6/B; A Level Maths A for combinations with Accounting or Maths & Statistics) IB: 32-30 (no subject below 5 and including English SL5, Maths/Maths Studies SL5; Maths HL5 for combinations with Accounting or Maths & Statistics)
About this course
BA Joint Hons in Economics, Mathematics & Statistics. Core topics include Statistics, Mathematical Modelling, Data Analysis, Programming, Financial Analysis, and Research Methods. The final year includes a dissertation in Economics or the other honours subject. Management Development Programme modules span all years, with third-year pathways including internships, live consultancy projects, and international exchange.
Modules
- Introduction to Economics & Business Analysis
- Introduction to International Business
- Introduction to Finance and Financial Analysis
- Introduction to Marketing & Entrepreneurship
- Introduction to Tourism Studies and Managing People
- Management Development Programme 1
- Academic Skills
- Mathematical Foundations
- Calculus 1
- Management Development Programme 2
- Intermediate Microeconomics
- Macroeconomics 2
- Linear Algebra & Differential Equations
- Probability & Statistical Inference
- Mathematical & Statistical Computing
- Management Development Programme 3
- Topics in Microeconomics with Cross Section Econometrics
- Macroeconomics 3
- Differential Equations
- Inference & Regression Modelling
- Complex Variables & Integral Transforms
- Linear Algebra
- Numerical Analysis
- Stochastics & Financial Econometrics
- Dissertation
- Microeconomics 4
- Macroeconomics 4
- Introduction to Econometrics
- Economics of Firms & Industries
- Industrial Economics
- Applied Econometrics
- Financial Development & Economic Growth
- Behavioural Economics
- Natural Resource, Environmental & Energy Economics
- Communicating Mathematics & Statistics
- Modelling & Simulation with Applications to Financial Derivatives
- Statistical Modelling & Analysis
- Applied Statistics in Society
- Applicable Analysis 3
- Fluids & Waves
- Finite Element Methods for Boundary Value Problems & Approximations
- Mathematical Biology & Marine Population Modelling
- Elasticity & Complex Materials
- Optimisation: Theory & Practice
- Statistical Mechanics
- Dynamical Models in Epidemiology