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Financial Modelling and Optimization - MSc/PgDip

Course Description

This programme gives you a flexible syllabus to suit the demands of employers that use modern financial tools and optimization techniques in areas such as the financial sector and energy markets.

We will give you sound knowledge in financial derivative pricing, portfolio optimization and financial risk management.

We will also provide you with the skills to solve some of today’s financial problems, which have themselves been caused by modern financial instruments. This expertise includes modern probability theory, applied statistics, stochastic analysis and optimization.

Adding depth to your learning, our work placement programme puts you at the heart of financial organisations such as Aberdeen Asset Management, Barrie & Hibbert and Lloyds Banking Group.

Programme structure

This programme involves two taught semesters of compulsory and option courses, followed by a dissertation project.

Compulsory courses

  • Discrete-Time Finance
  • Finance, Risk and Uncertainty
  • Fundamentals of Optimization
  • Optimization Methods in Finance
  • Research-Linked Topics
  • Risk-Neutral Asset Pricing
  • Simulation
  • Stochastic Analysis in Finance I
  • Stochastic Analysis in Finance II

Option courses

  • Advanced Time Series Econometrics
  • Combinatorial Optimization
  • Credit Scoring
  • Fundamentals of Operational Research
  • Financial Risk Management
  • Computing for Operational Research and Finance
  • Large Scale Optimization for Data Science
  • Microeconomics 2
  • Nonlinear Optimization
  • Numerical Partial Differential Equations
  • Parallel Numerical Algorithms
  • Programming Skills
  • Risk Analysis
  • Stochastic Modelling
  • Stochastic Optimization

Career opportunities

Graduates have gone on to work in major financial institutions or to continue their studies by joining PhD programmes.

Visit the Financial Modelling and Optimization - MSc/PgDip page on the University of Edinburgh website for more details!

Entry Requirements

A UK 2:1 degree, or its international equivalent, in mathematics or a mathematical subject such as statistics, physics or engineering.

Last Updated

02 May 2017

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