Joint BSc programme in Financial Mathematics with Nanjing University of Technology

Mathematics plays a pivotal in the financial service industry and, as a result, there is a sizeable and growing demand from financial institutions for people with appropriate technical skills and with an understanding of the relevant mathematics. This programme, which is a joint degree programme between Nanjing University of Technology (NJUT) and the University of Sheffield (UoS), is designed to produce graduates with a suitable mathematical and financial background. In addition to gaining substantial mathematical skills, learning at the University of Sheffield will help you to improve your English, as well as gaining an understanding of the types of teaching methods that are used in the UK.

Years one, two and three

During the first three years, students will study core mathematics and management modules at NJUT in China, taught by both staff from NJUT and UoS. These will cover the following areas:

  • Advanced calculus
  • Linear algebra
  • Introduction to probability and statistics
  • Differential and difference equations
  • Applied stochastic processes
  • Mathematical analysis
  • Financial mathematics
  • Principles of economics
  • Introduction to finance, financial accounting and management
  • Introduction to corporate finance and asset pricing
  • Statistics core
  • Statistical modelling
  • Statistical reasoning
  • Econometrics

The fourth year

The fourth year is taught in Sheffield.  It will consist of the following core modules:

  • Metric spaces
  • Stochastic processes and finance
  • Topics in mathematical economics
  • Corporate finance

together with four modules chosen from

  • Applied probability
  • Linear models
  • Bayesian statistics
  • Sampling theory and design of experiments
  • Classical control
  • Time series
  • Computational inference
  • Topics in number theory
  • Complex analysis
  • Measure and probability
  • History of mathematics
  • Codes and cryptography
  • Mathematical biology

and one of the following two modules

  • Modern finance
  • Financial derivatives.