← All courses at University of Liverpool

BSc Mathematics with Languages

University of Liverpool

Institution
University of Liverpool
Level
undergraduate
Subject
Mathematics with Languages
Duration
3-4 years
UCAS code
G19R
Typical offer
IB 32

Entry requirements

A level: ABB IB: 32 points overall with no score less than 4 including 6 in HL Mathematics and 5 in relevant HL language (for advanced level), or pass the IB Diploma plus 6,5,5 in three HL subjects (including 6 in HL Mathematics and 5 in relevant HL language for advanced level). BTEC: Applications considered. Relevant when combined with A level Mathematics grade A. A level in relevant language required for advanced level

About this course

BSc (Hons) in Mathematics and Modern Languages. Core topics include Statistics, Data Analysis, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students can choose to undertake a year abroad to study in another country and gain language fluency.

Modules

  • MATHEMATICAL IT SKILLS
  • DIFFERENTIAL EQUATIONS
  • CLASSICAL MECHANICS
  • STATISTICS
  • COMMUTATIVE ALGEBRA
  • VECTOR CALCULUS WITH APPLICATIONS IN FLUID MECHANICS
  • PROBABILITY
  • COMPLEX FUNCTIONS
  • LINEAR ALGEBRA AND GEOMETRY
  • OPERATIONAL RESEARCH: LINEAR AND CONVEX METHODS
  • METRIC SPACES AND CALCULUS
  • FINANCIAL MATHEMATICS
  • NUMERICAL METHODS
  • APPLIED PROBABILITY
  • FURTHER METHODS OF APPLIED MATHEMATICS
  • CARTESIAN TENSORS AND MATHEMATICAL MODELS OF SOLIDS AND VISCOUS FLUIDS
  • MATHEMATICAL BIOLOGY
  • MATHEMATICS OF MACHINE LEARNING
  • GAME THEORY
  • NETWORKS IN THEORY AND PRACTICE
  • MATHEMATICS OF NETWORKS AND EPIDEMICS
  • NUMERICAL METHODS FOR ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS
  • MORE IS DIFFERENT: STATISTICAL MECHANICS, THERMODYNAMICS, AND ALL THAT
  • MATHEMATICS INTERNSHIP
  • NUMBER THEORY
  • GROUP THEORY
  • DIFFERENTIAL GEOMETRY
  • THE MAGIC OF COMPLEX NUMBERS: COMPLEX DYNAMICS, CHAOS AND THE MANDELBROT SET
  • COMBINATORICS
  • TOPOLOGY
  • RELATIVITY
  • QUANTUM MECHANICS
  • THEORY OF STATISTICAL INFERENCE
  • APPLIED STOCHASTIC MODELS
  • LINEAR STATISTICAL MODELS
  • STOCHASTIC THEORY AND METHODS IN DATA SCIENCE
  • MEDICAL STATISTICS