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BA Joint Hons Finance & Mathematics and Statistics

University of Strathclyde

Institution
University of Strathclyde
Level
undergraduate
Subject
BA Joint Hons Finance & Mathematics and Statistics
UCAS code
NG33
Typical offer
A-level ABB

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) 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 Finance & Mathematics and Statistics. Core topics include Statistics, Mathematical Modelling, Financial Analysis, Programming, Data Analysis, and Accounting. The third year offers individualised experience pathways including internship, research and consultancy, and international exchange. The programme provides a basis for entering the actuarial profession.

Modules

  • Introduction to Finance and Financial Analysis
  • Introduction to International Business
  • Introduction to Marketing & Entrepreneurship
  • Introduction to Economics & Business Analysis
  • Introduction to Tourism Studies and Managing People
  • Management Development Programme 1
  • Academic Skills
  • Mathematical Foundations
  • Calculus 1
  • Management Development Programme 2
  • Course summary
  • Linear Algebra & Differential Equations
  • Probability & Statistical Inference
  • Mathematical & Statistical Computing
  • Management Development Programme 3
  • Differential Equations
  • Inference & Regression Modelling
  • Complex Variables & Integral Transforms
  • Linear Algebra
  • Numerical Analysis
  • Stochastics & Financial Econometrics
  • 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
  • Introduction to Econometrics