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BSc Mathematics with Philosophy

Royal Holloway, University of London

Institution
Royal Holloway, University of London
Level
undergraduate
Subject
Mathematics with Philosophy
Duration
3 years
UCAS code
G1V5
Typical offer
A-level ABB, IB 32

Entry requirements

A level: ABB-ABC (Required subjects: A-level in Mathematics at grade A GCSE English Language grade 4 (C) GCSE Mathematics grade 4 (C)) IB: 6,5,5 at Higher Level or a minimum of 32 points overall. Including 6 HL Maths

About this course

BSc in Mathematics and Philosophy, combining quantitative reasoning with philosophical inquiry. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Communication & Writing. The course is weighted 75% mathematics and 25% philosophy, and includes a supervised final-year project.

Modules

  • Calculus
  • Introduction to Pure Mathematics
  • Calculus II
  • Linear Algebra I
  • Problems of Knowledge
  • Statistical Methods 1
  • Introduction to Logic
  • Mind and Consciousness
  • Introduction to Aesthetics and Morals
  • From Euclid to Mandelbrot
  • Introduction to Applied Mathematics
  • Linear Algebra II
  • Complex Analysis
  • Introduction to European Philosophy 1: Kant to Hegel
  • Mind and World
  • Scientific Programming
  • Probability Theory
  • Vector Calculus
  • Statistical Methods 2
  • Ring Theory
  • Graphs and Optimisation
  • Ordinary Differential Equations and Fourier Analysis
  • Group Theory
  • Further Linear Algebra and Modules
  • Introduction to European Philosophy 2: The Critique of Idealism
  • Varieties of Scepticism
  • Philosophy and the Arts
  • The Philosophy of Religion
  • Philosophy and Literature
  • The Good Life in Ancient Philosophy
  • Advanced Skills in Mathematics
  • Mathematics Project
  • Number Theory
  • Complexity Theory
  • Quantum Theory 1
  • Non-Linear Dynamic Systems
  • Inference
  • Time Series Analysis
  • Channels
  • Mathematics of Financial Markets
  • Combinatorics
  • Cipher Systems
  • Electromagnetism
  • Applications of Field Theory
  • Mathematics in the Classroom
  • Computational Number Theory
  • Principles of Algorithm Design
  • Dynamics of Real Fluids
  • Quantum Theory 2
  • Markov Chains and Applications
  • Quantum Information and Coding
  • Financial Mathematics I
  • Financial Mathematics II
  • Error Correcting Codes
  • Cryptography
  • Topology
  • Modern European Philosophy 1: Husserl to Heidegger
  • Modern European Philosophy 2: Critical Theory and Hermeneutics
  • The Varieties of Scepticism
  • Introduction to Optimisation
  • Game Theory