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BSc Mathematics with Statistics for Finance

Imperial College London

Institution
Imperial College London
Level
undergraduate
Subject
Mathematics with Statistics for Finance
Duration
3 years
UCAS code
G1GH
Typical offer
A-level A*A*A, IB 39

Entry requirements

A*A*A - A*A*AA -- to include: A* in Mathematics; A* in Further Mathematics; A in another subject (A-levels), 39 points -- to include: 7 in Mathematics at higher level; 6 in another subject at higher level (International Baccalaureate)

About this course

BSc in Mathematics with Statistics for Finance, a mathematics and mathematics and statistics degree focused on mathematical theory and quantitative methods. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Communication & Writing. The curriculum includes independent and group research projects alongside opportunities to select specialized modules. The first year establishes core foundations through Introduction to University Mathematics, Analysis 1, Linear Algebra and Groups, and Calculus and Applications. Students also take Probability and Statistics, Introduction to Computation, An Introduction to Applied Mathematics, and Individual Research Project. The second year advances learning with Analysis 2, Group Research Project, Linear Algebra and Numerical Analysis, and Multi-variable Calculus and Differential Equations, accompanied by I-Explore module, Probability for Statistics, and Statistical Modelling 1. Optional modules in the second year include Groups and Rings, Lebesgue Measure and Integration, Partial Differential Equations in Action, Principles of Programming, and Classical Mechanics.

Modules

  • Introduction to University Mathematics
  • Analysis 1
  • Linear Algebra and Groups
  • Calculus and Applications
  • Probability and Statistics
  • Introduction to Computation
  • An Introduction to Applied Mathematics
  • Individual Research Project
  • Analysis 2
  • Group Research Project
  • Linear Algebra and Numerical Analysis
  • Multi-variable Calculus and Differential Equations
  • I-Explore module
  • Probability for Statistics
  • Statistical Modelling 1
  • Groups and Rings
  • Lebesgue Measure and Integration
  • Partial Differential Equations in Action
  • Principles of Programming
  • Classical Mechanics