BSc (Hons) Mathematics and Computer Science

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University of Liverpool
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Course Overview

This program offers a balanced and integrated curriculum, equally split between mathematics and computer science, to equip graduates with highly sought-after analytical and technical skills. It is accredited by the Institute of Mathematics and its Applications, providing a direct path to becoming a Chartered Mathematician. Students also have the unique opportunity to enhance their global perspective with a Year in China at our partner university, Xi'an Jiaotong-Liverpool University (XJTLU).

Key Program Highlights

  • Equal, balanced study of both Mathematics and Computer Science
  • Accreditation leading to Chartered Mathematician status
  • Develops highly prized analytical and technical problem-solving skills
  • Unique optional Year in China at Xi'an Jiaotong-Liverpool University (XJTLU)
  • Taught in a fully English-speaking environment for the international year

Requirements

The requirements may vary based on your selected study options.
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Modules

  • Compulsory modules
  • CALCULUS I
  • CALCULUS II
  • DATA STRUCTURES AND ALGORITHMS
  • DESIGNING SYSTEMS FOR THE DIGITAL SOCIETY
  • INTRODUCTION TO LINEAR ALGEBRA
  • OBJECT-ORIENTED PROGRAMMING
  • Options modules
  • NEWTONIAN MECHANICS
  • NUMBERS, GROUPS AND CODES
  • INTRODUCTION TO PROGRAMMING
  • PROGRAMMING LANGUAGE PARADIGMS
  • INTRODUCTION TO STATISTICS USING R
  • Compulsory modules
  • COMPLEXITY OF ALGORITHMS
  • Options modules
  • COMPUTER NETWORKS
  • COMPUTER SYSTEMS
  • DATABASE DEVELOPMENT
  • INTRODUCTION TO THEORY OF COMPUTATION
  • VECTOR CALCULUS WITH APPLICATIONS IN FLUID MECHANICS
  • CLASSICAL MECHANICS
  • COMPLEX FUNCTIONS
  • LINEAR ALGEBRA AND GEOMETRY
  • COMMUTATIVE ALGEBRA
  • OPERATIONAL RESEARCH: PROBABILISTIC MODELS
  • FINANCIAL MATHEMATICS
  • INTRODUCTION TO ARTIFICIAL INTELLIGENCE
  • CYBER SECURITY
  • GROUP SOFTWARE PROJECT
  • DISTRIBUTED SYSTEMS
  • COMPUTER-BASED TRADING IN FINANCIAL MARKETS
  • STATISTICS AND PROBABILITY I
  • PRINCIPLES OF COMPUTER GAMES DESIGN AND IMPLEMENTATION
  • DIFFERENTIAL EQUATIONS
  • SOFTWARE ENGINEERING I
  • STATISTICS AND PROBABILITY II
  • METRIC SPACES AND CALCULUS
  • OPERATIONAL RESEARCH
  • NUMERICAL METHODS FOR APPLIED MATHEMATICS
  • Options modules
  • KNOWLEDGE REPRESENTATION AND REASONING
  • BIOCOMPUTATION
  • EFFICIENT SEQUENTIAL ALGORITHMS
  • MULTI-AGENT SYSTEMS
  • FORMAL METHODS
  • SOFTWARE ENGINEERING II
  • INTRODUCTION TO COMPUTATIONAL GAME THEORY
  • COMPUTATIONAL GAME THEORY AND MECHANISM DESIGN
  • OPTIMISATION
  • FURTHER METHODS OF APPLIED MATHEMATICS
  • CARTESIAN TENSORS AND MATHEMATICAL MODELS OF SOLIDS AND VISCOUS FLUIDS
  • QUANTUM MECHANICS
  • GROUP THEORY
  • COMBINATORICS
  • APPLIED PROBABILITY
  • LINEAR STATISTICAL MODELS
  • NETWORKS IN THEORY AND PRACTICE
  • ADVANCED ARTIFICIAL INTELLIGENCE
  • FINAL YEAR SECOND SEMESTER 15 CREDIT PROJECT
  • COMPLEX INFORMATION NETWORKS
  • COMMUNICATING COMPUTER SCIENCE
  • DATA MINING AND VISUALISATION
  • RELATIVITY
  • DIFFERENTIAL GEOMETRY
  • GAME THEORY
  • MATHEMATICAL RISK THEORY
  • MEDICAL STATISTICS
  • NUMBER THEORY
  • PROJECTS IN MATHEMATICS
  • THEORY OF STATISTICAL INFERENCE
  • ADVANCED TOPICS IN COMPUTER GAME DEVELOPMENT
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    Tuition fee
    Apply by
    Start date
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted