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BSc Mathematics and Physics

Royal Holloway, University of London

Institution
Royal Holloway, University of London
Level
undergraduate
Subject
Mathematics and Physics
Duration
3 years
UCAS code
GF13
Typical offer
A-level AAA, IB 36

Entry requirements

A level: AAA-ABB (Required subjects: A-level in Mathematics at grade A A-Level in Physics at grade A A pass in the practical element of all Science A-levels taken GCSE English Language grade 4 (C) GCSE Mathematics grade 4 (C)) IB: 6,6,6 at Higher Level or a minimum of 36 points overall, including 6 in Physics at HL and 6 HL Maths: Analysis & Approaches

About this course

BSc in Physics and Mathematics, combining physics with mathematical methods. Core topics include programming, microelectronics, data analysis, statistics, mathematical modelling, and communication and writing. The course includes a final-year project that may be experimental or theoretical, chosen in consultation with a member of staff. Students may transfer onto the four-year MSci programme to pursue research or specialist roles.

Modules

  • Calculus
  • Calculus II
  • Introduction to Pure Mathematics
  • Linear Algebra I
  • Scientific Skills
  • Classical Mechanics
  • Classical Matter
  • Physics of the Universe
  • Academic Integrity
  • Vector Calculus
  • Ordinary Differential Equations and Fourier Analysis
  • Linear Algebra II
  • Scientific Computing Skills
  • Quantum Mechanics
  • Classical and Statistical Thermodynamics
  • The Solid State
  • Advanced Skills in Mathematics
  • Advanced Skills in Physics
  • Statistical Methods 2
  • Probability Theory
  • Graphs and Optimisation
  • Ring Theory
  • Group Theory
  • Further Linear Algebra and Modules
  • Complex Analysis
  • Optics
  • Experimental or Theoretical Project
  • Electromagnetism
  • Mathematics Project
  • Mathematics in the Classroom
  • Number Theory
  • Computational Number Theory
  • Complexity Theory
  • Principles of Algorithm Design
  • Quantum Theory 1
  • Quantum Theory 2
  • Dynamics of Real Fluids
  • Non-Linear Dynamic Systems
  • Inference
  • Time Series Analysis
  • Markov Chains and Applications
  • Channels
  • Quantum Information and Coding
  • Mathematics of Financial Markets
  • Combinatorics
  • Error Correcting Codes
  • Cipher Systems
  • Cryptography
  • Applications of Field Theory
  • Atomic Physics
  • Nonlinear Dynamical Systems
  • Topology
  • Introduction to Optimisation
  • Financial Mathematics I
  • Financial Mathematics II
  • Game Theory