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BSc Mathematics with Applied Mathematics​/​Mathematical Physics

Imperial College London

Institution
Imperial College London
Level
undergraduate
Subject
Mathematics with Applied Mathematics​/​Mathematical Physics
Duration
3 years
UCAS code
G1F3
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 Applied Mathematics/Mathematical Physics, a physics and mathematics degree exploring advanced mathematical concepts and their applications to physical theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Communication & Writing. The curriculum includes a specialisation in Applied Mathematics/Mathematical Physics focusing on scientific computation and the dynamics of games. The first year covers foundational concepts through Introduction to University Mathematics, Analysis 1, Linear Algebra and Groups, and Calculus and Applications. Year two advances these themes through Linear Algebra and Numerical Analysis, Analysis 2, Multi-variable Calculus and Differential Equations, and Partial Differential Equations in Action, alongside a Group Research Project and an individual research component in the first year. Students can also choose from optional modules such as Groups and Rings, Lebesgue Measure and Integration, Probability for Statistics, 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
  • Linear Algebra and Numerical Analysis
  • Analysis 2
  • Multi-variable Calculus and Differential Equations
  • Group Research Project
  • Partial Differential Equations in Action
  • I-Explore module
  • Statistical Modelling 1
  • Groups and Rings
  • Lebesgue Measure and Integration
  • Probability for Statistics
  • Principles of Programming
  • Classical Mechanics