BSc (Hons) Mathematics with Management

University of Edinburgh
United Kingdom
Qualification
Bachelor's Degree
Study mode
Full-time
Duration
4 years
Intakes
January September
Total tuition fee (local)
Contact the university / college
Total tuition fee (foreign)
Contact the university / college

Entry Requirements

  • A Level: ABB-AAA, Min. units required: 3. Min. units preferred: 3. Mathematics at grade A.
  • SQA Higher: ABBB-AAAA, Mathematics at grade A.

Curriculum

Modules (Year 1)

  • Introduction to Linear Algebra 
  • Calculus and its Applications
  • Proofs and Problem Solving 
  • Industrial Management 1

Modules (Year 2)

  • Several Variable Calculus and Differential Equations
  • Fundamentals of Pure Mathematics
  • Statistics (Year 2) 
  • Computing and Numerics
  • Accelerated Algebra and Calculus for Direct Entry
  • Accelerated Proofs and Problem Solving 
  • Probability
  • Probability with Applications
  • Facets of Mathematics
  • Techniques of Management
  • Innovation and Enterprise for Scientists and Engineers 1 

Modules (Year 3)

  • Honours Algebra 
  • Honours Differential Equations
  • Honours Analysis
  • Honours Complex Variables 
  • Financial Mathematics
  • Linear Statistical Modelling
  • Combinatorics and Graph Theory 
  • Introduction to Number Theory
  • Numerical Linear Algebra and Applications 
  • Likelihood 
  • Stochastic Modelling
  • Linear Programming, Modelling and Solution
  • Geometry
  • Numerical Ordinary Differential Equations and Applications

Modules (Year 4)

  • Mathematics Project
  • Data Analysis 
  • Mathematical Education
  • Jewels of Algebra 
  • Probability, Measure & Finance
  • Topology
  • Financial Mathematics 
  • Numerical Linear Algebra and Applications
  • Hilbert Spaces
  • Fundamentals of Optimization 
  • Linear Statistical Modelling 
  • Fundamentals of Operational Research 
  • Categorical Data Analysis
  • Introduction to Lie Groups 
  • Theory of Statistical Inference
  • Introduction to Number Theory 
  • Combinatorics and Graph Theory 
  • Likelihood 
  • Stochastic Modellingl
  • The Analysis of Survival Data 
  • Dynamical Systems 
  • Fourier Analysis
  • Nonparametric Regression
  • Stochastic Models in Biology
  • Simulation
  • Nonlinear Optimization
  • Computer Algebra 
  • Mathematical Programming
  • Multivariate Data Analysis
  • Algebraic Geometry

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