数学与统计学（in合作与中南财经政法大学）学士

第三学年Year 3

• Inference
  10
• Linear models
  10
• 导论RIntroduction to R
  10
• 原理概率与统计学Principles of probability & statistics
  10
• Generalised linear models
  10
• 数据分析（学分）Data analysis (10 credits)
• 数学方法Mathematical methods
  20
• Metric spaces and basic topology
  20
• Analysis of differentiation and integration
  10
• Writing and presenting mathematics
  10
• 方法复杂分析Methods of complex analysis
  10
• 代数Algebra
  20
• Dynamical systems (10 credits)

第四学年Year 4

• Stochastic processes
  10
• Computational Inference (10 credits)
• Mathematics options include
• Algebraic and geometric topology
  20
• 功能分析Functional analysis
  20
• Number theory
  10
• Partial differential equations
  20
• 数学生物学Mathematical biology
  20
• Differential geometry
  20
• 主题代数Topics in algebra
  10
• 进阶复杂分析Further complex analysis
  10
• 数值方法Numerical methods
  20
• 数学物理（学分）Mathematical physics (10 credits)