Bachelor Mathematics and Statistics MMathStat

University of Kent
En Canterbury (Inglaterra)

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  • Bachelor's degree
  • Canterbury (Inglaterra)

Mathematics is important to the modern world. All quantitative science, including both physical and social sciences, is based on it. It provides the theoretical framework for physical science, statistics and data analysis as well as computer science. The University of Kent's programmes reflect this diversity and the excitement generated by new discoveries within mathematics that affect not only the technicalities of science but also our general understanding of the world in which we live.

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Dónde se imparte y en qué fechas

Inicio Ubicación
01 septiembre 2016
CT2 7PE, Kent, Inglaterra
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¿Qué aprendes en este curso?

GCSE Mathematics

Programa académico

Course Content Course structure

The course structure below gives a flavour of the modules that will be available to you and provides details of the content of this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules, you may also have the option to take ‘wild’ modules from other programmes offered by the University in order that you may customise your programme and explore other subject areas of interest to you or that may further enhance your employability.

Stage 1

Possible modules may include:

  • Calculus and Mathematical Modelling
  • Proofs and Numbers
  • Matrices and Probability
  • Exploring Mathematics
  • Statistics
  • Business Economics
  • From Geometry to Algebra
  • Managers and Organisations
  • Introduction to Economics

Stage 2

Possible modules may include:

  • Analysis
  • Linear Algebra
  • Probability and Inference
  • Regression
  • Computational Mathematics
  • Mathematical Techniques and Differential Equations
  • Mathematical Modelling
  • Functions of Several Variables
  • Groups and Rings
  • Principles of Finance

Stage 3

Possible modules may include:

  • Starting Research in the Mathematical Sciences
  • Stochastic Processes
  • Time Series Modelling and Simulation
  • Analysis of Variance
  • Advanced Regression Modelling with R
  • Nonlinear Systems and Mathematical Biology
  • Groups and Representations
  • Elements of Abstract Analysis
  • Numerical Solution of Differential Equations
  • Topics in Modern Applied Mathematics
  • Complex Analysis

Stage 4

Possible modules may include:

  • Analysis of Large Data Sets
  • Computational Statistics
  • Probability and Classical Inference
  • Bayesian Statistics
  • Algebraic Curves in Nature
  • Applied Differential Geometry
  • Basic Differential Algebra
  • Nonlinear Waves and Solitons
  • Topology
  • Orthogonal Polynomials and Special Functions