Mathematics and statistics - exchange modules

A list of modules available to exchange students studying mathematics and statistics
Mathematics and statistics - exchange modules

Mathematics at Plymouth is a blend of high-level research and excellent teaching involving over 30 academic staff. We have a proud track record of supporting our students to master challenging material.

Included below is a list of all modules available for exchange students studying mathematics and statistics at the University of Plymouth. More information about Mathematical Sciences at Plymouth can be found on our school pages.

First year modules

All modules are 20 credits 

Semester 1: 

  • MATH1601 - Mathematical reasoning
  • MATH1602 - Calculus and analysis
  • MATH1603 - Linear algebra and complex numbers
Semester 2:

  • MATH1605 - Probability with applications
  • MATH1610 - Numerical and computational methods
  • MATH1611 - Geometry and group theory
  • MATH1612 - Big Data analytics for finance and social media

Second year modules

All modules are 20 credits

Semester 1:

  • MATH2601 - Advanced calculus
  • MATH2602 - Statistical inference and regression
  • MATH2606 - Real and complex analysis
  • MATH2607 - Mathematical programming
  • MATH258 - Quantitative financial modelling

Semester 2:

  • MATH2603 - Ordinary differential equations
  • MATH2604 - Mathematical methods and applications
  • MATH2605 - Operational research and Monte Carlo methods

Third year modules

All modules are 20 credits 

Semester 1: 

  • MATH3605 - Partial differential equations
  • MATH3606 - Classical and Quantum Mechanics
  • MATH3623 - Financial statistics
  • MATH3629 - Fluid dynamics
  • MATH3613 - Data modelling
Semester 2:

  • MATH3601 - Mathematical sciences in context
  • MATH3604 - Geometry and algebra
  • MATH3609 - Optimisation, networks and graphs
  • MATH3611 - Electrodynamics and relativity
  • MATH3612 - Dynamical systems
  • MATH3614 - Medical statistics

Postgraduate exchange modules

All modules are 20 credits  

Semester 1:

  • MATH500 - Big Data and social networks visualization

Semester 2:

  • MATH501 - Modelling and analytics for data science

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