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MSc Financial and Computational Mathematics

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

The course teaches advanced financial mathematics combined with computational techniques. You’ll learn mathematical techniques and skills that are used across the financial sector to quantify and hedge risk. Practical experience of using statistical software will develop your skills in mathematical modelling.

The programme includes teaching expertise from the School of Mathematical Sciences and the School of Economics. You will study core modules including:

  • Financial Mathematics
  • Computational Applied Mathematics
  • Scientific Computing and C++

Entry Requirements

2:1 in mathematics, physics or engineering

Applicants should have a solid background in mathematics including calculus, linear algebra, ordinary differential equations and probability and statistics at degree level.

In exceptional cases, applicants holding a 2.2 with substantial mathematical content may be considered.

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Fees

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Student Destinations

Our graduates have gone on to work as business analysts, data scientists and trading analysts.

They work for organisations such as:

  • Capitalab
  • Deloitte
  • DRW

The course also provides suitable training for a PhD in areas such as financial mathematics, quantitative finance, applied mathematics.

Module Details

Core modules

  • Advanced Financial Mathematics
  • Computational Applied Mathematics
  • Financial mathematics
  • Financial and Computational Mathematics Dissertation
  • Scientific Computing and C++

Optional stream one: Mathematics, Statistics and Computing

  • Optimization
  • Statistical Foundations
  • Statistical Machine Learning
  • Time Series and Forecasting

Optional stream 2A: Econometrics

  • Econometric Theory
  • Financial and Macro Econometrics
  • Game Theory
  • Mathematics for Engineering Management
  • Time Series Econometrics

Optional stream 2B: Microeconomics

  • Economics of Corporate Finance
  • Game Theory
  • Mathematics for Engineering Management
  • Microeconomics: Consumer and Firm Behaviour
  • Macroeconomics: Economic Cycles, Frictions and Policy
  • Monetary Theory and Practice

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